Data driven.
Solution Focused.
I solve hard problems with code and math. Whether it's optimizing portfolios or identifying crypto scams, I build tools that drive better decisions.
RASHAD FERGUSON
DATA ALCHEMIST
Turning raw data into gold with Python & AI.
CLEARANCE: L5
LOC: REMOTE
Mission Statistics
Tech Arsenal
Validating high-volume asset movements & redesigning reconciliation workflows.
The Lab
Experiments and full-scale implementations exploring the intersection of Finance, Sports, and AI.
Quantitative Stock Analysis
Finance & Data Science
Rigorous quantitative finance project applying statistical techniques to historical stock data. Evaluates four equities over a one-year period to determine optimal investment by balancing volatility against annualized returns.
Wemby Stoppers
Sports Analytics
NBA analytics project analyzing how teams have defended Victor Wembanyama across 122+ career games. Identifies defensive archetypes that reduce his scoring by 15-45% with actionable frameworks for coaches.
The Agency: RAG System
AI & Machine Learning
A powerful, production-ready Retrieval-Augmented Generation system with dual-model architecture. Chat with your documents using Gemini or Llama 3 with auto-ingestion and persistent vector storage.
Pig Butchering Analysis
Financial Crime & Network Analysis
Comprehensive analysis of 'Pig Butchering' scams using network visualization and temporal pattern analysis. Maps $44B+ in illicit flows and identifies critical crypto chokepoints for law enforcement.
Archive
Additional projects and experiments from my coding journey.
SCHD ETF Financial Analysis
Comprehensive quantitative analysis of the Schwab U.S. Dividend Equity ETF using Monte Carlo simulations and modern portfolio theory for evidence-based investment decisions.
Hill vs Hardaway Careers
NBA career comparison between Grant Hill and Penny Hardaway analyzing peak years, playoff impact, and long-term career metrics with visual storytelling.
Sneaker Resale Dashboard
Visual dashboards and ML clustering to analyze sneaker resale performance, identify high-return products, and offer market-ready inventory insights.