Technical Skills
Python
SQL
Excel
Tableau
Power BI
Data Visualization
Project Management
Projects
Driving DoorDash Decisions: Marketing Insights from Excel Data Analysis
September 2025
Have you ever wondered how companies like DoorDash decide who to target with their ads? I recently dove into this fascinating topic by analyzing some company data to uncover which demographic groups are the most valuable for DoorDash's marketing efforts. It was a surprising journey into the world of data-driven decision-making.This project stemmed from my curiosity about how DoorDash, and similar companies, can make the smartest choices when it comes to advertising. With the right insights, they can target the right people and maximize their revenues. This project felt special because it combined my interest in data with my fascination for real-world business strategies!Skills Used: Key techniques in Excel used for data analysis including Data Cleaning, Data Sorting/Filtering, Pivot Tables, Data Visualization & more!
About Me
Hi! My name is Jeremy Fonseca, and I recently earned my Bachelor of Science in Computer Science from Rutgers University ā New Brunswick. With a strong foundation in software engineering and recent experience as a Founding Software Developer at BallQāan AI-powered soccer analytics platformāI am now focused on pursuing a career in soccer data analytics.My technical skill set includes Python, SQL, Java, Excel, Tableau, data modeling, and backend development, along with hands-on experience building data pipelines and dashboards that translate complex datasets into clear, actionable insights. I am especially passionate about using data to support decision-making in player performance analysis, scouting, and tactical evaluation.What differentiates me is the combination of technical expertise and deep domain knowledge of the sport. I grew up playing soccer at the highest youth levels in the U.S., competed at the collegiate level, and have also played semi-professionally. This background allows me to understand the game beyond the numbers and apply analytics in ways that align with real on-field context and performance demands.I am actively seeking opportunities as a Data Analyst within professional or semi-professional soccer organizations, where I can contribute analytical rigor, problem-solving skills, and a strong passion for the sport to drive data-informed decisions.Outside of work, Iām an avid runner currently training for a sub-3-hour marathon.Letās connect ā Iād love to explore how I can bring value through soccer analytics, data-driven insights, and innovative problem-solving.