1. I found TXT in 2020, completely by accident. One of my friends would not stop talking about them, and I finally gave up and watched the Crown MV just so she'd stop asking me. It definitely did not work. A few hours later, I was watching TO DO episodes, funny compilations, One Dream, performances, and somehow it was already 2 a.m. I don't even remember when I officially became a MOA. It just happened. 2. I think one of the best things about being a MOA is that everyone genuinely wants to see all five members happy. Of course, people have biases, and I definitely do, but I've never felt like supporting one member means ignoring the others. If one of them is missing, it doesn't feel like TXT. I think that's something really special about this fandom. 3. My bias is Soobin, and honestly, I don't think I chose him. He just kind of chose me. Every time I watched interviews or behind-the-scenes videos, I always caught myself smiling whenever he talked. He's funny without trying too hard, he's incredibly caring, and those random little laughs of his never fail to make me smile. 4. My ult bias is Soobin too. I've listened to a lot of groups over the years, but nobody has stayed my favorite for as long as he has. I really admire how honest he is about not always feeling confident. Seeing someone I look up to admit that made me feel a little less guilty for feeling the same way sometimes. 5. My favorite TXT song is Blue Spring. Every time I hear it, I get emotional. The first time I listened to it, I wasn't even reading the lyrics because I was too busy watching concert videos. When I looked up the translation afterward, I finally understood why it meant so much to so many people. It's one of those songs that somehow makes me miss moments that haven't even happened yet. 6. I haven't had the chance to see TXT in concert yet. I've watched livestreams, fancams, and more concert clips than I can count, but traveling, hotels, and tickets have always been too expensive for my family. I really hope I'll get to experience it someday. 7. My favorite era is The Name Chapter: Temptation. I don't think I'll ever get over that concept. The teasers, the music, the styling, and the choreography all felt magical. Sugar Rush Ride is still one of my favorite title tracks, and I honestly don't think I've ever skipped a song on that album. 8. Right now I'm paying for school through scholarships, financial aid, and help from my parents. Studying in another country is expensive, so I apply for every scholarship I can. Every award helps reduce the financial pressure on my family. 9. This scholarship would help cover expenses like textbooks, software, transportation, and other costs that add up throughout the semester. It would also let me spend more time focusing on school and less time worrying about money. 10. I don't think TXT changed my life overnight or magically solved my problems. That's not really how life works. But they were there during a lot of moments when I needed something to make the day feel a little lighter. Sometimes that meant laughing at TO DO after a stressful exam. Sometimes it meant studying with their music in the background. Looking back at some of my favorite high school memories, TXT somehow shows up in so many of them. They've reminded me that progress doesn't happen all at once. You just have to keep showing up. 11. I'm studying Data Analytics because I've always enjoyed solving problems with numbers and finding patterns. In the future, I want to use those skills to help nonprofit organizations better understand the communities they serve and create a bigger impact. I've also dreamed of creating an organization that supports both underserved communities and stray animals. I know that's a big goal, but I also know every step forward matters. That's one of the biggest lessons I've taken from TXT.

I still remember stepping off the bus in Mata Gorda, a low-income community in Santo Domingo Norte, Dominican Republic. Before I knocked on a single door, the uneven dirt roads and deteriorated homes made it clear that this was a reality I had only learned about from a distance. My senior class was volunteering with TECHO, a nonprofit organization that helps families improve their living conditions. Our role was to conduct housing surveys to identify which homes needed the most urgent repairs. One family has stayed with me ever since. Two parents and their two daughters lived in a house where the girls' bedroom walls had deteriorated so badly that a bedsheet was all that separated them from the rain and wind. They answered every question about their access to water, electricity, food, and income without hesitation. Looking back, I often think about how much trust that required. They welcomed a stranger into their home because they believed that being honest might help their family. What began as a questionnaire often turned into a conversation, and I found myself listening far more than I was speaking. I never felt like I was talking to strangers for very long. At the time, the surveys felt like paperwork. I was focused on asking questions and writing down answers. It wasn't until later that I realized those pages represented real families, and that the information we collected would help TECHO decide where to begin. That experience taught me something I have never forgotten: before an organization can solve a problem, it must first understand it. Collecting information wasn't separate from helping. It was the first step. From that moment on, I understood that meaningful change often begins with listening carefully enough to understand what people truly need. That lesson shaped both the career I want and the person I hope to become. I plan to study Data Analytics because I want to help solve problems with evidence instead of assumptions. Now, whenever I think about data, I think about the people behind it. I think about the families who trusted us enough to tell us about their lives. I want to help nonprofit organizations understand where resources are needed most, evaluate which programs are making a real difference, and use limited resources in the most effective way possible. My first professional goal is to build a career in the private sector, where I can strengthen my analytical skills and achieve financial stability. Building that foundation is important because I want helping others to be part of my life, not something I only do when my schedule or finances allow it. I hope to spend my career using data to support organizations that serve vulnerable communities, while continuing to volunteer whenever I can. Whether that means helping improve housing conditions, supporting people experiencing homelessness, or advocating for abandoned animals, I want my skills to have a purpose beyond my full-time job. When I left Mata Gorda, I hoped I had helped, even if it was only in a small way. Weeks later, I still find myself chasing that same feeling because it reminds me of the kind of person I hope to become. If my career allows me to keep helping people by making better decisions, supporting stronger organizations, and creating more opportunities for those who need them, then I'll know I've built the life I set out to create.

A finished result is usually where I start questioning it. That habit became clear during a statistical research project in my senior year of high school. My classmates and I were studying how virtual learning affected students’ academic performance. I was responsible for organizing survey responses, calculating results, and building graphs that summarized our findings. At first, I treated it like any other assignment. I focused on accuracy. I checked formulas more than once. I made sure every percentage matched the data in the spreadsheet. A result felt either right or wrong, nothing in between. Even after we had our final graphs ready, I stayed behind while others moved on to submit the work. I went back to the raw responses and started separating them into smaller groups. I wanted to see if the conclusion still held when the data was looked at from different angles instead of one single summary. I also wanted to check whether certain patterns disappeared when the dataset was divided differently. It was not required. It was not part of the assignment. I just could not leave it without checking if there was more underneath. Then I stopped thinking that way. One of the results showed that around 68 percent of students reported a decline in focus during virtual learning. I remember staring at that number longer than expected. Not because I doubted it, but because I could not stop thinking about what it was actually capturing, and what it was leaving out at the same time. I opened the raw responses instead of the summary table and began grouping answers by type of experience. Some students talked about a lack of structure at home, while others mentioned constant distractions or less interaction with teachers. A smaller group reported better focus, usually when they had more independent routines or quieter environments. As I kept comparing responses, I realized that the same percentage could represent very different realities depending on how the data was grouped. Seeing all of that together made the 68 percent feel less like a conclusion and more like a rough compression of very different situations. The spreadsheet stopped feeling like a summary. It felt like compression. A wide range of experiences is reduced to a single line on a graph. That realization created a tension I did not know how to ignore. On one side, the number was useful. It showed a pattern. It allowed comparison. It made the data easier to read at scale. On the other side, it felt like something important was being left out. The differences that created that percentage were no longer visible, and I found myself wondering how many interpretations could exist depending on how the same responses were grouped. Instead of resolving that tension, I stayed with it. I started asking questions that were not required for the assignment. Why did some students report improved focus while others struggled under the same conditions? What factors explained those differences? Environment, habits, access, something else. Each question made me go back to the same data and look at it differently, not to change the result, but to understand what shaped it. Sometimes I would re-check the grouping just to see if a different categorization changed the way I interpreted the outcome, even if the overall percentage stayed the same. My role had been to calculate results. I ended up trying to understand them instead. That shift changed how I see data. It is no longer something that confirms what we already know. It is something that immediately opens more questions, especially when you stop treating it as a final answer and start treating it as a structure built from many individual inputs. Since that project, I have noticed a pattern in myself. When something does not fully make sense, I do not move on quickly. I stay with it. I break it into parts. I look for what I might be missing. Even outside of school, I find myself questioning whether the first explanation I hear is complete. In group work, I am often the one asking what changes if we split the data differently or look at it another way, not to complicate things, but to make sure the conclusion actually holds under different perspectives. I used to think this was just a study habit. Now I see it as the reason Data Analytics feels necessary to me. Data Analytics is not just about working with numbers. It is about not accepting surface-level explanations. It is about checking whether what looks true at first glance still holds when you go deeper. It turns curiosity into something structured instead of a passing thought. I am not drawn to this field because it gives answers. I am drawn to it because it forces better questions, and because those questions do not disappear once a result is produced. I have also learned that data has a second role that is often ignored. It not only summarizes patterns. It can also reveal complexity that individual stories cannot show, especially when those stories are compressed into large datasets. A single student’s experience during virtual learning can feel isolated. A dataset can show whether those experiences form a pattern, and where they break or diverge from it. Both levels matter. One gives depth. The other gives scale. What matters is learning how to move between both without losing either. What matters to me is not choosing between them, but learning to read both at the same time. That perspective has shaped how I think about the future. I know I will not always have clean datasets or simple problems. I will deal with incomplete, changing, and sometimes contradictory information. That uncertainty does not discourage me. It is what makes the work meaningful, because it forces me to slow down and question assumptions instead of accepting them too quickly. I do not want a path where everything is clear from the start. I want one where I have to keep questioning things long after others stop. The research project eventually ended. The spreadsheet was submitted. The graphs were presented. The assignment was complete. But one part of it did not end. I still think about that 68 percent. Not because I need to verify it. But because I cannot stop breaking it down into what it is made of.

I had already planned the visit. After weeks of exams, assignments, and deadlines, I finally had an empty weekend on my calendar. My grandfather had been in the hospital for weeks, and for the first time, I had no academic obligations standing in the way. On Friday morning, before I could leave to see him, he died. For months, I replayed that moment in my head. If I had studied a little less, visited a little sooner, or worried a little less about school, I could have said goodbye. Instead, I was left with regret and a question I could not escape: Why had I spent so much of my life trying to prove I was enough? For years, I believed that being enough meant being successful. Good grades, perfect behavior, responsibility, and academic recognition. I thought that if I could achieve enough, I would finally feel confident in myself. Instead, I felt exhausted. My struggle with mental health began years before I lost my grandfather. When the COVID-19 pandemic started, I was twelve years old. Like many families, mine was under immense stress. One conflict at home became a turning point in my life. While the moment itself eventually passed, some of the words said that day stayed with me for years. They made me question my value, my abilities, and whether I was truly worthy of love and respect. As time went on, those doubts grew into anxiety. I became the quiet student who was always focused on school. The girl people came to when they needed help with assignments. The responsible one. From the outside, I seemed to have everything under control. Inside, I was terrified of failure. I worried constantly about disappointing others. I felt pressure to excel academically, pressure to be responsible, pressure to have my future figured out long before I was ready. Looking back, I realize that my anxiety was never just about grades. It was about what I believed grades represented. Every achievement felt like proof that I was worthy. Every mistake felt like evidence that I was not. I spent years chasing perfection because I thought perfection would finally make me feel enough. Eventually, that pressure became overwhelming. There was a period in my life when I felt completely alone. I struggled with suicidal thoughts and genuinely believed my family would be better off without me. At my lowest point, I could not imagine a future where I felt happy, confident, or at peace with myself. Thankfully, my story did not end there. Recognizing the damage we were causing one another, my parents decided that our family would attend therapy together. Therapy did not erase our problems, but it gave us the tools to understand one another. We learned how to communicate, listen, and grow together instead of apart. Nearly five years later, our relationship is far from perfect, but it is stronger, healthier, and built on mutual effort. That experience taught me something I carry with me every day: growth is not about becoming perfect. It is about being willing to improve. Then came the loss of my grandfather. His death forced me to confront a truth I had spent years avoiding. Life is not a competition to see who can collect the most achievements. Success has value, but not at the expense of the people we love, our happiness, or our well-being. For the first time, I stopped asking myself, "How can I prove that I am enough?" and started asking, "What kind of life do I want to build?" That shift changed everything. During my junior year, I conducted a statistical research project examining how virtual learning affected students' academic performance during the transition from elementary to secondary school. What began as a school project quickly became something much more meaningful. I found myself fascinated by the stories hidden behind the numbers. Patterns were no longer just data points. They represented real experiences, real challenges, and real people. For the first time, I was pursuing something because I genuinely loved it, not because I felt pressured to succeed. That experience inspired my decision to pursue Data Analytics. I want to use technology and data to better understand problems, identify opportunities for improvement, and contribute to solutions that positively impact people's lives. In a world increasingly shaped by information, I believe data can be one of the most powerful tools for creating meaningful change when used responsibly and ethically. My experiences with mental health have also transformed how I see others. I have learned that struggles are often invisible. The student earning top grades may be battling anxiety. The quiet person in the corner may be carrying grief. The person who appears strong may feel completely lost. Because of that, I want my future to be guided by both ambition and compassion. Whether through my career, community involvement, or future initiatives supporting vulnerable people and animals, I hope to create a positive impact on those who are often overlooked. I still wish I had one more chance to visit my grandfather. But if there is one lesson his loss left behind, it is this: our value does not come from being perfect, and it does not come from proving ourselves to others. For years, I believed I had to earn my worth through achievements. Today, I understand that I was enough long before any grade, award, or accomplishment. That realization has shaped my goals, strengthened my relationships, and transformed the way I see the world. More importantly, it has transformed the way I see myself.

The most important lesson I have ever learned about responsibility did not come from a teacher, a book, or a leadership program. It came from a stray cat sleeping on the concrete floor of my apartment complex. One evening, as I was getting out of my family's car, I noticed what looked like a small white ball near the park in my apartment complex. I was about to ignore it and go inside when I realized it had moved. When I got closer, I saw a tiny black-and-white kitten. She looked dirty, lost, and completely out of place. A few days later, I saw her again outside the glass door leading to the parking lot. I happened to be carrying part of my breakfast, so I tossed a small piece of sausage nearby. She immediately ran toward it. Without realizing it, that small moment became the beginning of our friendship. Over the following weeks, I looked for her whenever I came home. I made sure she had food whenever I could, brought down an old blanket for her to sleep on, and eventually named her Luna. Before long, she had become one of my favorite parts of the day. As I spent more time with her, I realized that food alone was not enough. Luna had no reliable source of food, water, shelter, or care. I wanted to do more, but bringing her home was not an option. My parents did not allow pets inside the house. For a while, I felt frustrated. Then I realized that if I could not help her alone, I could ask others to help me. Even though I was naturally shy, I started going door to door throughout my apartment complex with Luna in my arms. I introduced her to neighbors who had never met her and talked to those who already knew her. Many people cared about her, but none of us were in a position to fully adopt her. Instead of accepting that nothing could be done, I organized a small community effort. Together, we raised money for food, bowls, a bed, and toys. More importantly, Luna was no longer alone. What started with one person feeding a stray cat became a group of neighbors working together to care for her. That experience changed me just as much as it changed Luna's life. Before meeting her, I rarely spoke to many of my neighbors. Through her, I learned how to start conversations, bring people together, and take initiative when I saw a problem that needed solving. I learned that making a difference does not require authority. It requires someone willing to act. A few months later, while my family and I were away on a trip, Luna passed away unexpectedly. I never got the chance to say goodbye. Losing her was heartbreaking, but it also reminded me why helping her mattered. I could not change how her story ended. What I could change was part of the story itself. Instead of spending her final months hungry and alone, she spent them surrounded by people who cared about her. I am grateful I helped her in every way I could. Looking back, I realize that while I was helping Luna, she was helping me too. When I first saw Luna, she was just a small white shape in the distance that most people would have walked past without noticing. I am grateful that I stopped to take a second look. Helping Luna taught me that meaningful change often starts with something small: noticing a need, deciding it matters, and choosing to act.

That night, I opened my spreadsheet expecting dozens of new survey responses. The number had barely changed. After spending hours approaching students across university campuses and explaining my research project, I had almost nothing to show for it. Hundreds of responses were required for my Statistics final project, yet after days of effort, I was nowhere close to my goal. Sitting at my desk, exhausted and discouraged, I wondered whether I would be able to finish at all. During my junior year, I conducted a statistical study on how virtual learning affected students' academic performance as they transitioned from elementary to secondary school. The project required designing surveys, collecting data from both high school and university students, and analyzing hundreds of responses to identify meaningful patterns. The project arrived during one of the most difficult periods of my life. I was preparing university applications, studying for final exams, completing major assignments, and coping with the recent loss of my grandfather. While trying to stay focused on my responsibilities, I was also learning how to navigate daily life without someone whose presence had always been part of it. I am naturally introverted, and approaching strangers has never come easily to me. Some afternoons, I stood outside a university cafeteria for several minutes before gathering the courage to approach my first student. Even when people agreed to participate, many never completed the survey. Despite hours of work, my response count barely increased. After two frustrating days, I realized that persistence alone would not solve the problem. Instead of assuming I simply needed to work harder, I treated the situation the same way I would approach a statistical problem. I looked for patterns. The evidence showed that students were agreeing to participate but were not following through. Once I identified that pattern, I focused on the factors I could control. With encouragement from my parents, I redesigned the survey's presentation, improved how I introduced myself, and explained the purpose of the study more clearly. Rather than viewing each interaction as a potential rejection, I treated it as an opportunity to communicate the value of my research. The next time I checked my spreadsheet, the response count was finally growing at the pace I had hoped for. Response rates increased, and I found myself spending less time rehearsing what to say and more time focusing on the conversations themselves. More importantly, I learned that effective research is about identifying problems, testing solutions, and adapting when the evidence shows something is not working. After reaching my target sample size, I analyzed hundreds of responses and transformed raw information into meaningful conclusions. The project ultimately earned the highest grade in the class. However, the most valuable result was not the grade itself. Throughout the project, I discovered that what excited me most was not entering numbers into a spreadsheet, but asking questions, searching for patterns, and using evidence to solve problems. Whether I was interpreting survey responses or finding a better way to reach participants, the same process applied: identify the problem, look for patterns, and adapt. More importantly, the experience introduced me to STEM in a way I had never experienced before. It showed me that data can tell stories, reveal patterns, and help people make better decisions. That realization sparked my interest in data-driven problem solving and helped me see Data Analytics as the field where my interests in technology, data, and problem solving intersect. What started as a class project became the experience that shaped both my academic interests and the career path I hope to follow.

On a Friday evening during exam season, my father gave me the worst news I had ever received: my grandfather had passed away that morning. For weeks, he had been hospitalized. I repeatedly asked to visit him, but with final exams approaching, my family encouraged me to focus on school first and wait until the weekend. I agreed and told myself there would be time. By Friday, I had finished my exams and felt relieved. For the first time in weeks, I was free to visit him. I remember feeling excited because I finally had the time. That evening, my father told me my grandfather had passed away that morning. The regret was immediate. For months, I replayed those weeks in my mind. There would always be more exams and deadlines, but there would never be another chance to see my grandfather. Every time my brother and I visited him, he would buy us a bag of chips and a red soda before we spent hours talking and playing dominó together. At the time, those moments felt ordinary. After his passing, I realized they were some of the most meaningful memories I had. Losing him taught me that the moments we assume will always be there are often the ones we cherish most when they are gone. At the same time, I was struggling with depression caused by years of family conflict and self-doubt. There were periods when I felt misunderstood and unfairly judged, and eventually I began to see myself through that same negative lens. My grandfather's death intensified those struggles, leaving me overwhelmed by grief, guilt, and regret. The first Mass I attended after a long absence from church was my grandfather's funeral. I expected to leave carrying the same weight I had brought with me. Instead, I left with something I had not felt in a long time: peace. Raised in a Catholic family, I learned about faith through the example of my parents and especially my grandmother. Yet it was not until that moment that faith became deeply personal. Returning to Mass became a source of comfort during one of the most difficult periods of my life. In many ways, it felt like a way of remaining connected to my grandfather while also reconnecting with God. My faith did not erase my grief, but it helped me find meaning beyond it and taught me how to move forward. That lesson continues to shape my academic and future goals. As I prepare to study Data Analysis at Lynn University, I am excited by the opportunity to work with numbers, technology, and problem-solving in a rapidly growing field. My interest in Data Analysis comes from genuine curiosity, but my faith has influenced the purpose behind my education. It has taught me that success is most meaningful when it benefits others. My parents and younger brother have also been among the greatest influences on my educational journey. My parents have consistently encouraged me to pursue ambitious goals and believe in my abilities even when I doubted myself. Their sacrifices have made many of my opportunities possible. My younger brother has provided something equally important: encouragement during difficult moments. Whenever I needed to study, he would patiently listen as I talked for hours about the subjects I was reviewing. When I felt overwhelmed by a project or academic pressure, he would often hug me and find a way to make me laugh. Those small acts of support reminded me that I never had to face challenges alone. Beyond the classroom, I have participated in fundraising efforts to help build homes for low-income families, collected food donations for an orphanage, and taken part in beach cleanups. These experiences strengthened my desire to serve others. One day, I hope to use my education and professional success to establish a nonprofit organization that supports both people and animals experiencing hardship. Losing my grandfather changed the way I view faith, time, and purpose. Faith helped me transform one of the most painful experiences of my life into a source of growth and direction. Higher education is the next step in that journey, one that will allow me to honor the values my family instilled in me and create a positive impact in the lives of others. Thank you Social Media Instagram: vera_sophia_11

Most teachers expect you to follow instructions. A few expect you to think. My high school math teacher expected more than that. He expected you to push past your own limits. He was Cuban. You could hear it in every word. His voice was strong, direct, and sometimes sarcastic. He didn’t soften his opinions. If your logic was weak, he said it. If you were capable of more, he made sure you knew. At first, I liked his class for the wrong reason. It was easy. I finished exams quickly. I got good grades without much effort. That was enough for me. One day, I turned in a test much earlier than everyone else. He looked at me, then at my paper. “You’re done already,” he said. “And that makes you proud?” I told him the truth. Math was easy for me. I didn’t need more time. He paused. “Do you want me to give you harder problems?” I said no. I told him I preferred the easy ones. Less time studying. Less effort. He ignored me. The next assignment was different. The problems were longer and more complex. They required methods I had never practiced. I went up to him, frustrated, and asked him to change them. He didn’t. “Try,” he said. “Your grade comes from that.” That mattered to me. I care about my grades. But this time, effort wasn’t enough. I remember one problem clearly. I spent over an hour on it and got nowhere. I tried every method I knew. Nothing worked. I checked the solution later and realized I had misunderstood the entire approach. When I got the test back, my grade dropped for the first time in a long time. I was angry. Not at the test, at him. It felt unfair. I had always done well without needing to struggle like that. For a moment, I thought about doing the minimum. Just enough to pass. It didn’t seem worth the time. But that didn’t last. If my grade depended on it, I had to adapt. I started from the beginning. I reviewed concepts I thought I had already mastered. I looked up new techniques. I practiced slowly. When I got something wrong, I didn’t skip it. I forced myself to understand why. It was frustrating. It was slow. But it worked. I stopped rushing. I started analyzing. I began to see patterns I had ignored before. The same topics felt different because I approached them differently. Over time, I started to enjoy it. Not because it was easy, but because I could see progress. Each mistake became useful. Each correction made the next problem clearer. He never told me I was smart. He didn’t praise easy success. Instead, he forced me to confront a flaw in how I approached learning. I was choosing comfort over growth. He didn’t let me stay there. Now, I apply that mindset beyond his class. When I write, I don’t stop at the first version that works. I revise until I understand what makes it strong. When I study, I don’t focus on finishing fast. I focus on whether I can explain the process clearly. He didn’t just teach me math. He taught me that ability means nothing if you don’t push it, and that growth only happens when you stop avoiding difficulty. That is the standard I hold myself to now.

For a long time, I thought being responsible meant doing everything right and not causing problems. I also believed that results were enough to define me. Good grades, good behavior, and avoiding mistakes should have been enough to be understood. Watching Good Will Hunting challenged that idea in a way I did not expect. It became the most impactful movie in my life because it changed how I understand silence, emotions, and communication. This story follows Will Hunting, a young man with extraordinary intelligence who works as a janitor at MIT. He solves complex problems easily, but struggles to face his emotions and accept help. What stayed with me was not his intelligence, but his resistance to being seen. There is a key scene between Will and his therapist, played by Robin Williams. The therapist repeatedly tells him that he is not responsible for the trauma he carries. Will rejects it at first. He uses humor, anger, and silence to avoid accepting it. He resists vulnerability even when it is exactly what he needs. That reaction felt familiar in a way I could not ignore. In my own life, I have often felt that my emotions are not taken as seriously as those of adults. Because I am still a teenager, I sometimes feel that my concerns are minimized or misunderstood. Over time, that made me more reserved about expressing how I feel. I started to believe that speaking openly would only create tension or be seen as immaturity. This pattern did not come from one moment, but from repeated experiences where attempts to express myself did not lead to real dialogue. When I tried to share my perspective, the focus often shifted toward obedience or correcting my behavior instead of understanding what I was saying. As a result, I learned to stay quiet during conflict and process things internally. One situation that made this clearer happened during a family trip. My younger brother asked for water. My mother reacted strongly, saying there was no bathroom nearby, and made a comment that changed the tone of the moment. I calmly told her that the comment felt unnecessary, especially in front of my brother. Her reaction quickly shifted toward frustration directed at me. The conversation stopped being about the comment itself and became about my response. Afterwards, I reflected on how quickly communication can break down when emotions take over. Even when the intention is to improve a situation, the message can be lost if listening is replaced by reaction. The film helped me connect this to a larger pattern. Will is not silent because he has nothing to say, but because speaking feels unsafe. In the same way, I realized I had been using silence as protection, even when it created distance between me and others. After reflecting on this, I started making small changes. I began expressing myself more directly in situations where I would normally stay quiet. I do not always succeed, but I am more aware of when I shut down instead of communicating. What Good Will Hunting made clear to me is that intelligence or behavior does not replace emotional expression. Avoiding difficult conversations does not remove them. It only delays them and increases the distance between people. It also made me realize why this is the most impactful film in my life. It not only helps me understand a character. It helped me recognize a pattern in myself that I had been ignoring for years. I am still learning how to break that pattern, but now I understand it instead of ignoring it.

I remember the exact moment they announced second place. My name. For a second, I stayed still. I had already decided I would win. Not out loud, but in my head. I had replayed that moment so many times that anything else felt wrong. When I stood up, I forced a smile. I could feel people watching, confused. I walked to the front, took the medal, and kept my expression steady. Then they announced the first place. It was her. Later, I learned I had lost by less than a point. That number stayed with me. Less than a point. After months of preparation and a final presentation, I knew I had delivered well, but I still did not win. For a long time, I believed effort guaranteed results. That belief shaped how I approached school. I trusted that if I worked hard enough, I would get what I earned. When my school announced a Math Olympiad during my sophomore year, I saw it as proof of that idea. Three rounds. Two exams and a final presentation in front of university professors. I prepared seriously. For the first round, we were given fifty practice problems. I solved all of them, more than once. The day of the test, I finished knowing I had done well. I had reasons to question how fair the process was. During the earlier rounds, I had seen behaviors that did not align with the rules, and reporting them did not lead to any change. At the time, I focused on continuing, convinced that consistent effort would outweigh anything else. Looking back, what stayed with me was not whether the process was fair, but how much I depended on it being fair. For the second round, the exam changed completely. None of the problems came from the practice set. You had to understand the concepts. I relied on my preparation and got the highest score. At that point, I believed the final round would reflect real ability. The last stage was different. We had one week to solve a complex problem innovatively and present it step by step. I worked on it constantly. I tested approaches, refined explanations, and practiced how I would present. Even when my family went out, I stayed working. I wanted every part to be clear. The day of the presentation, I was nervous. When I started speaking, that disappeared. I explained each step, answered questions, and finished knowing I had done my part. Losing was one part of it. Losing in front of others made it worse. But what stayed with me was simpler and harder to accept. I had done everything right, and it still was not enough. For a while, that idea affected how I saw myself. My next exams were different. I hesitated more. I checked answers I already knew were correct. I spent more time worrying about the result than focusing on the process. My performance dropped, not because I understood less, but because I trusted myself less. I avoided thinking about the competition. I avoided the medal. What forced me to confront it was a conversation with my aunt. She did not try to make it sound fair. She told me directly that outcomes are not always reliable measures of ability. At first, that made things worse. Then I realized the real problem was not the result. It was how I defined it. I had tied my value to outcomes I could not control. I had built my confidence on being the best, not on understanding what I was actually learning. When the result failed, everything else collapsed with it. That changed how I approach education. Now, I track my process as closely as my results. I write out my reasoning instead of rushing to answers. I review mistakes until I understand them, not just until I can correct them. When something feels off, I question the evaluation, not just my ability. That shift gave me direction. I plan to study Data Analytics because it allows me to examine how results are produced, not just what they show. In many academic settings, a single score defines performance, even when it fails to capture consistency, improvement, or depth of understanding. Students who rely on short-term strategies can appear successful, while others who develop real mastery are overlooked. I want to work on educational data systems that evaluate learning more accurately. For example, instead of relying on isolated exam scores, models can track patterns over time, measure how students approach problems, and identify growth, not just final answers. This could help teachers make better decisions and reduce the weight of single high-stakes results that do not reflect actual ability. That requires more than technical skill. It requires judgment. It requires recognizing that data can be precise and still incomplete. I have that medal hanging in my room, near the entrance. I see it almost every day. It just sits there, quiet, without showing everything that came with it. It reminds me why I care about how results are measured. Not just for me, but for students whose effort, understanding, and progress are reduced to a number that does not fully represent them. I want to build systems that make those patterns visible, so that evaluation supports learning instead of distorting it.

Numbers do not lie, but people often misunderstand them. That is where many mistakes start. A percentage looks small, a statistic sounds convincing, and a decision feels safe. Then the consequences appear, and they are often difficult to fix. The problem is not that people are not smart. It is that they do not always think mathematically. This becomes clear when people fall into debt. A credit card gives flexibility, and the minimum payment seems manageable. At first, it feels under control. But after months of paying only the minimum, the balance barely goes down. Interest keeps adding up, and the total grows without being obvious. In the end, someone may pay double or even triple the original amount. The mistake is not laziness. It is not understanding how those numbers work over time. Something similar happens with information. Statistics are everywhere, especially online. A headline might say a risk has “doubled,” which sounds serious. But if it goes from one percent to two percent, the situation is very different from what it sounds like. Without context, numbers can create fear instead of clarity. Many people accept them without questioning, just because they include data. That leads to decisions based on incomplete understanding. I noticed this while solving math problems in school. One time, during a final assignment, I had to solve nine long exercises with complex numbers. Each one took me around 30 to 45 minutes. I made small sign mistakes often, like changing a positive to a negative without noticing. Then I would spend 10 to 15 minutes trying to find where I went wrong. I checked step by step, sometimes many times, and still could not see the error right away. It was frustrating, and honestly a bit exhausting. I thought about just writing the correct answer and moving on, because it probably would not be checked in detail. But I kept going back anyway until I found the mistake and understood it. That experience changed how I approach problems. I realized that getting an answer is not enough. What matters is understanding why it is correct. I stopped trusting results just because they looked right and started checking them more carefully. This also happens in real life. A person can be intelligent and still make poor decisions if they trust numbers without understanding them. For example, someone might invest money after seeing steady gains for a few months. It looks like a pattern, so they assume it will continue. They ignore risk because recent results feel convincing. When things change, the loss becomes a lesson they did not expect. Learning math builds habits that go beyond solving equations. It trains you to test assumptions, notice patterns, and check results carefully. You start asking simple questions. Does this make sense? What is missing? What could change over time? These questions matter in real situations, not just in class. At some point, I realized something simple. Being good with numbers is not about always getting the right answer. It is about knowing when an answer should not be trusted. That way of thinking affects how you understand information, how you make decisions, and how you deal with consequences.

I have always been drawn to patterns, logic, and structure. I spend my free time solving puzzles, playing logic-based games, and exploring mathematical ideas beyond what is required in class. What started as something natural, understanding formulas quickly and enjoying numbers, became meaningful when I noticed that many of my classmates struggled with the same concepts. Instead of moving on, I began helping them after class, explaining problems in ways that made sense to me. Seeing them finally understand something they once found confusing gave purpose to something that had always felt easy for me. This experience shaped how I see my abilities. Mathematics is not just something I am good at; it is a tool I can use to support others. That perspective led me to pursue a career in Data Analysis. At first, the field caught my attention because it combined numbers and technology, two areas I already enjoyed. But as I learned more, I realized its real value lies in its ability to uncover patterns that are not immediately visible and use them to make better decisions. I am particularly interested in how data can be used to address issues like corruption and poverty, problems that frustrate me because of how deeply they affect people’s lives. I understand that I cannot solve these problems on a large scale on my own. However, I believe data can play a role in exposing inefficiencies, improving resource distribution, and supporting organizations that work directly with vulnerable communities. Even small, well-informed decisions can have measurable effects when applied consistently. Beyond academics, one of my long-term goals is to support people and animals in vulnerable situations. While I hope to contribute financially one day, I also recognize that impact should not depend solely on stability or resources. I want to find ways to contribute through knowledge, whether that means supporting existing initiatives or using data to understand better where help is most needed. This is an area where I am still learning and refining my approach. One of the most significant challenges I have faced is related to my own communication. I have often found it easier to listen and support others than to express my own thoughts and emotions. Over time, this created a sense of isolation, even when I was surrounded by people who cared about me. Recognizing this pattern has been uncomfortable, but necessary. I am beginning to understand that being able to communicate clearly is not just a personal need; it is essential if I want to make a meaningful impact on others. While this is still something I am working on, acknowledging it has been the first step toward change. My experiences have shaped both my interests and my perspective. I am someone who learns through observation, applies what I understand to help others, and reflects on my own limitations. Data Analysis is not just a career choice for me; it is a way to develop skills that can be applied to real problems. At the same time, I am working on becoming more open and expressive, because I recognize that technical ability alone is not enough to create meaningful change.