During my fall semester of 2024, I was part of a five-person Agile development team for Fidelity Investments. We collaborated with Fidelity leaders in Boston, Massachusetts to create a web application focusing on data analysis and customer analysis for Fidelity’s Business Performance Metrics. We used Python, StreamLit, Snowflake, and AtScale to create the needed functionalities for an analytical and unified data repository. We also used PowerBI and Microsoft Excel to analyze US Census data and Fidelity's customer base. We developed a multiple linear regression model for Fidelity to predict their customer base by zip code and better understand predictors that will impact the percentage of Fidelity customers. We analyzed over 35 zip codes and 9 predictors to generate our response variable. Our multiple linear regression model returned a Multiple R-value of 0.889, showing a strong positive linear relationship between our predictors and the response variable. Our model performed well at capturing the relationship between the predictors and the outcome. Our model also returned a standard error of 0.0592 which suggested that our model's predictions were relatively precise and close to the actual values.As a senior student-athlete at Worcester Polytechnic Institute (WPI), I am pursuing a Bachelor of Science in Data Science and a Bachelor of Science in Management Engineering with a concentration in Industrial Engineering. I am passionate about applying data analysis, data visualization, data engineering, data science and pattern recognition skills to solve real-world problems and optimize processes and outcomes.I was a positional leader of the varsity football team for 2 years at WPI and a member of the Sigma Phi Epsilon Fraternity (Massachusetts Beta), where I balance my academic, athletic, and Greek life commitments and collaborate with my teammates, brothers, and coaches to achieve our goals. Upon graduation in May 2025 from Worcester Polytechnic Institute, I am seeking a full-time position in a data engineering role.