Professional Overview
Data scientist based in Nairobi ,with two years of applied experience building data and ML systems end to end. Core stack: Python (Pandas, NumPy, Scikit-learn, LightGBM/XGBoost), SQL and PostgreSQL, FastAPI, Docker, Power BI and Tableau. I've shipped classification models to production, owned SQL r
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
