Third-year Northeastern student learning to apply economic reasoning and data skills to real problems. Building a foundation for analytic and product work.
A small collection of class projects, data exercises, and prototypes that demonstrate my approach to economic questions, analysis, and product-minded solutions.
Built a full-stack risk analytics platform that computes portfolio risk metrics, stress scenarios, and optimization weights for investment decision-making; Integrated real-time macro data from FRED and Polygon.io to generate portfolio sensitivity through changing interest rates, inflation, and market context; Developed a sleek dashboard using React.js and Node.js to make complex analytics more accessible for finance users
Analyzed competing companies’ financial statements to calculate liquidity, profitability, leverage, and credit risk; Co-authored a financial report for creditors to determine short-term loan risk and borrower repayment capacity; Leveraged AI to support corporate credit risk assessment and develop loan approval recommendations; Presented findings through a financial analysis report using accounting data, ratio analysis, and business evaluation
Third-year Northeastern student learning to apply economic reasoning and data skills to real problems. Building a foundation for analytic and product work.
I am Theo Brown, a third-year Economics student at Northeastern University working toward a bachelor’s degree. I have limited formal work experience and I am exploring how economic analysis, data, and product thinking fit together as I prepare to start my career.
Experience
Founder
J2J · May 2025-Aug 2025
Marketing Volunteer
Electrify Medford · Mar 2025-Apr 2025
Sales Representative
H&M · May 2024-Aug 2024
Education
Northeastern University, D'Amore-McKim School of Business
Candidate for BS in Economics/Business Administration
Skills
Built a full-stack risk analytics platform that computes portfolio risk metrics, stress scenarios, and optimization weights for investment decision-making; Integrated real-time macro data from FRED and Polygon.io to generate portfolio sensitivity through changing interest rates, inflation, and market context; Developed a sleek dashboard using React.js and Node.js to make complex analytics more accessible for finance users
Analyzed competing companies’ financial statements to calculate liquidity, profitability, leverage, and credit risk; Co-authored a financial report for creditors to determine short-term loan risk and borrower repayment capacity; Leveraged AI to support corporate credit risk assessment and develop loan approval recommendations; Presented findings through a financial analysis report using accounting data, ratio analysis, and business evaluation