I am currently an Associate Product Manager @ Capital One. My first rotation was in the Machine Learning Experience (MLX) team, and currently, I am working in Upmarket Cards, specifically on customer experience and acquisitions. I have graduated from Harvard with a Bachelor's degree in statistics on a data science track. One thing that has always driven me is my passion for building products 📱. Whether it's working on a coding project or collaborating with a team to bring an idea to life, I love the satisfaction of seeing something tangible and valuable come together. In my free time, I also enjoy learning about the stories of successful entrepreneurs and playing around with data 📊 (check out some of my data projects on my GitHub!). And when I need a break from all the number-crunching, you can usually find me cheering on one of my favorite New York sports teams 🏒!
For more information, have a look at my resume .
Founded a used goods marketplace that offers a safe and convenient solution for trading used goods within communities, eliminating the risks and inconveniences associated with in-person transactions. Conducted user interviews with 100+ potential users, and launched an MVP using an Instagram page and a web application, gaining 100+ users and facilitating 50+ transactions in 2 weeks.
Created prediction models with machine learning to accurately determine how many wins a certain MLB team was going to have in the following year, utilizing data from 1997 to 2022.
GitHubPredicted soccer player and team performance through linear regression, random forests, and boosting methods, and determined what attributes constitutes a good player/team.
GitHubWeb application where users can register to trade stocks real-time with play money, using IEX stock API.
GitHub