Hi, I'm Michael!
Bio
I am a third-year undergraduate student studying Mathematics with minors in Economics and Finance at Wingate University.
Alongside academics, I enjoy building practical systems at the intersection of machine learning, actuarial risk analytics, and finance, having worked on projects spanning risk modeling and analysis, portfolio backtesting & optimization, signal-based trading, and predictive analytics for financial data.
Highlight: I am looking for actuarial and risk analytics internship opportunities as well as opportunities in the fintech space. Would love to talk if you find us a good match!
Currently based between Charlotte and San Francisco. Lately, I've been working on Meridian, a fintech startup, where we're leveraging AI/ML to personalize investment strategies based on user behavior patterns.
Feel free to reach out to me at mi.gyimadu430 [at] wingate [dot] edu.

Publications

A Comparative Analysis of Principal Component Analysis and Singular Value Decomposition as Dimensionality Reduction Techniques
Michael Gyimadu, Gregory Bell, Ph.D.
Paper

Past + Ongoing Projects

A multi-asset portfolio simulator and backtester. Implements allocation logic, contribution schedules, and performance tracking with Python and C++, wrapped in a Next.js interface..

A rules-based signal generator that models macroeconomic factors and their impact on selected assets. Designed for flexible testing of strategy ideas.

A custom stock screener for U.S. equities. Filters by valuation, yield, volatility, and other factors, built with a focus on extensible screening logic.

A C++ command-line currency converter with support for both real-time exchange rates and historical rate lookups.

A Python utility that automates common data cleaning steps for large datasets, handling missing values, outliers, and formatting.

Michael Gyimadu
Michael Gyimadu