BSc Mathematics student, currently working as a Research Consultant at WorldQuant BRAIN.
My goal is to become a world-class quantitative analyst, contributing to data-driven investment strategies. I'm building toward that by learning in public β testing trading ideas on real market data and figuring out what actually holds up versus what just sounds good on paper.
Python_trading Backtesting simple trading strategies β moving averages, RSI, MACD, Bollinger Bands, price action β against a plain buy-and-hold benchmark. Built to learn what actually works, not to assume it.
Data-science-with-Python Data cleaning, exploratory analysis, and visualization exercises β the fundamentals I've been building before applying them to trading data.
- π BSc Mathematics, University of Nairobi (2025β2029)
- π Quantitative Research Consultant, WorldQuant BRAIN β Genius Expert level
- π Learning: backtesting methodology, applied statistics, systematic strategy design