🚀 Data Scientist | AI & Machine Learning Enthusiast | Certified Nerd
I'm passionate about leveraging analytics, machine learning, and statistics to derive meaningful insights from data.
Currently, I focus on Bayesian macroeconomic forecasting, financial modeling, and sentiment analysis using social media data.
- 🤖 Machine Learning & AI for Economic Analysis
- 🔬 Bayesian Statistics & Econometrics
- 🌍 Macro-Financial & Risk Modeling
- 📊 Quantitative Finance & Algorithmic Trading
- 📈 Data-Driven Decision Making
| Project Name | Description | Tech Stack | Repo |
|---|---|---|---|
| 🏦 Reinforcement Learning Trading Bot | PPO-based trading agent for Bitcoin markets. | Python, Gym, Stable-Baselines3 | Repo |
| 🚦 Road Accident Cause Prediction | Random Forest model to predict causes of road accidents. | Python, Scikit-Learn | Repo |
| 📉 Macroeconomic Indicator Prediction (In Progress) | Bayesian models for forecasting GDP, CPI, and unemployment. | Python, PyMC3, Time Series | Repo |
| 💡 Apple Sentiment Analysis | NLP-based sentiment analysis on Apple-related tweets. | Python, NLTK, Hugging Face | Repo |
| 🏦 Loan Default Prediction | Random Forest-based credit risk model for lending institutions. | Julia, MLJ | Repo |
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☁️ AWS Machine Learning Specialty (MLS-C01)
Preparing for certification before deprecation — focusing on production ML systems, deployment, and scalable pipelines. -
📖 Financial Risk Management (FRM)
Formalizing and structuring practical market experience since 2022 into a rigorous framework for risk measurement, modeling, and control. -
⚛️ Quantum Physics (Personal Research Interest)
Studying quantum mechanics as both a scientific curiosity and as a practical excuse to write mathematical simulations in Julia.
- 🏠 Kenya Property Price Prediction Platform (In Progress)
Developing a machine-learning-driven application to forecast property prices and provide live market insights into the Kenyan real estate market using economic and spatial data.
📌 "Never stop learning."
