Hello everyone. I'm Alex Chen, a third-year economics major from the School of Economics and Management. I've been listening to the campus radio station's econ show for the last two years, and honestly, I think my voice is a little bit loud, a bit too much like a crackling campfire on a windy night. I've spent the last nine months trying to figure out how to make my English sound like a real person talking in a busy mall queue, rather than reciting a textbook definition of inflation. I started this journey by reading a paragraph in my textbook and trying to translate it into my head, but honestly? It felt like watching someone paint a masterpiece with a single drop of water. Then I started learning vocab from the Cambridge dictionary, and suddenly my sentences started sounding like a robot trying to sound human. But the worst part wasn't the grammar, it was the hesitation. I'd pause for 30 seconds just to find the right word, especially when I needed to talk about GDP growth rates or unemployment figures. I worried I'd sound arrogant or ignorant. So I decided to stop aiming for perfection and just try to communicate. I realized early on that the key isn't using fancy vocabulary; it's about the flow. You can't talk about the stable growth of the global economy if you're stumbling over your own feet. That's why I started listening to podcasts. I listen to economists explaining how interest rates affect the residential market, and I watch TED talks on supply chain disruptions. It took me a while to get the rhythm right, but now I feel like I'm just reading the script in my head. When I speak, my hand movements get a little too dramatic sometimes, like I'm conducting an orchestra instead of doing a job. I still flinch a bit when I see a chart on a screen, and I always smile, thinking, "Wow, I look like an idiot." But the smile is worth it, because the exchange is worth more. When I was first asked to present about the digital transformation in manufacturing, I froze. My brain went blank because I couldn't picture the machinery in my mind. So I borrowed a friend's laptop, turned it on, and pretended to be the machine itself. I told the audience, "I'm the robot arm here, and you are the human hands that need to guide my movements." It was confusing at first, but then the room went quiet, and I started describing the precision and the speed. It turned out that sometimes the best way to explain complex technology is to break it down into tiny, mechanical parts. We all have a sense of wonder about how things work, and I think that's something I can bring to my job too. My background lies within the core of the logistics sector, which is a really interesting place to be. I specialize in supply chain management, and today I want to talk about a specific project I worked on last semester. It wasn't just about planning routes; it was about logistics in a post-pandemic world. We had to predict demand shifts in Southeast Asia because the traditional prediction models weren't working anymore. To make this work, we needed better data. We looked at historical shipping routes and found that wind patterns and changing monsoon seasons were affecting delivery times more than traffic. We then built a forecasting model using historical climate data and historical traffic patterns. To double-check the accuracy, we ran a simulation. We set the model to predict a 10% increase in consumer demand across the region. The result was surprisingly accurate, off by less than 2%. That number wasn't just a statistic floating in a spreadsheet; it was the foundation for our entire new strategy. We could now allocate more trucks to the southern ports and reduce our carbon footprint by 15% over the next quarter. It was a small change, but it came with a huge impact. I also want to talk about something that troubled me for a long time: the issue of data privacy in global trade. As a student, I thought about it as a legal problem, but now I see it as an economic one. When companies share data to optimize logistics, there's always a fear of misuse. I think we have to find a middle ground. I remember reading a study that suggested a 20% reduction in shipping costs could be achieved by sharing anonymized data across different carriers. That number was shocking, and for a few seconds, I felt like my brain was short-circuiting. It wasn't about stealing secrets; it was about using data as a tool to serve the public. I'm not here to sound like a tech guru who wears a headset all the time. I've been to big conferences where the air was thick with humidity and the acoustics were terrible. I've sat in breakout rooms where the noise level was higher than a stadium. I've been asked to present slides that were so crowded I couldn't see anything. I've even spent hours in the library, just staring at the second-hand books on shelves, trying to catch a whisper about how to analyze market trends. I haven't slept well, and I've cried a few times because I was scared I'd make a mistake that would ruin my career. But the truth is, I don't want to be perfect. I want to be real. When I talk to a client about logistics optimization, I don't always use the term "supply chain resilience." Sometimes I'll say, "Let's make sure our supply chain is weather-proof." If I say the wrong word, it becomes awkward, but I think it's okay. The point is that communication is key. If we use the wrong vocabulary, it creates distance. If we use the right words, it builds trust. I think my biggest contribution to my field right now is learning to listen. I used to listen to my own thoughts, but now I listen to the people around me, their concerns, their fears, their hopes. When I listen, I hear a story. When I tell a story, I share a piece of my life. I'm not going to tell you about every victory I've had. I'm not going to list every certificate I've earned. I'm going to tell you about the time I almost gave up because the math was too hard to understand. I'm going to tell you about the time I was late for an interview because I was so excited to see the new campus that I forgot the briefing. I'm going to tell you about the time I stood in front of a crowd and felt like my voice was getting static. I'm going to tell you that it's okay to feel like you're not doing enough. My favorite thing to do when I'm working is to look at the numbers on the screen, but I also like to look at the faces of the people who work with the numbers. I think that connection is what makes everything worthwhile. When we help a small business grow because of our better data, or when we help a community recover faster because of our logistics plan, we're not just doing a job. We're doing something real. So, if you're sitting there thinking, "I'm basically an accountant, I'll never do this," you're wrong. Accounting is the foundation, but it's not the ceiling. You can build towers out of bricks, but you can also build bridges out of bridges. And today, I'm standing here, holding a piece of paper that says "Economics," but I'm about to tell you about the world of logistics, the world of data, the world of human connection. Let's not be afraid to be imperfect. Let's not pretend we know everything. Let's just be honest that sometimes the data doesn't match our expectations, and sometimes the unexpected happens faster than we planned. If I can just keep staying up late after 3 am to read articles and listen to podcasts, I might just find a way to speak a language I love. Thank you guys. I'm Alex. I'd love to hear your thoughts. Maybe you can share your data strategy today, or maybe you just want to hear a story about a time you almost forgot your place in the room. Whatever it is, I'm here. And please, don't be shy about asking questions. Sometimes the best way to learn is to get confused.