I'm a graduate mechanical engineer based in Nairobi, Kenya, adding data science and ML to my toolkit to build real-world solutions where engineering and AI meet. Trained through the Data Science Bootcamp and Data Analytics course at Moringa School, and currently getting hands-on experience with real organizational data through data analysis, reporting and dashboarding work at Total Care Academy.
- 🇰🇪 Just shipped the Kenya Conflict Intelligence System - a political violence severity prediction capstone project
- ⚙️ Background in mechanical engineering - I bring domain knowledge into projects like predictive maintenance modelling
- 🎓 Looking to bridge the gap between Machine Learning and AI systems and practical large scale usability in industry.
- 📊 Data analysis, reporting and dashboarding work at TCA Nairobi, Kenya.
- 🌱 Also into tennis and creative hands on projects like art, music and fashion design.
Languages & Core Libraries
Analysis & Explainability
BI & Visualisation
Tools
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🇰🇪 Kenya Conflict Intelligence System A two-stage hurdle model predicting the severity of political violence across Kenya's 47 counties at weekly resolution, trained on 16,600+ ACLED county-week records enriched with WorldPop density and election-cycle features.
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Predictive Maintenance — CNC Machine Failure Detection) A binary classifier predicting CNC machine failure from real-time sensor data (temperature, torque, tool wear, rotational speed), shifting maintenance from reactive/time-based to data-driven scheduling.
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Automated Sentiment Analysis for Tech Brand Monitoring An NLP pipeline classifying ~9,000 tweets about Apple and Google products as Positive, Negative, or Neutral, built for a fictional social-listening client whose manual labelling no longer scaled.
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More on the way Additional Power BI, Tableau, and Excel dashboard projects (sales analytics, aviation risk, box-office ROI) are documented in my full portfolio - plus new work coming out. |
Data Analyst (Part-Time) — Total Care Academy, Pangani • Consolidating student, financial, and academic records from multiple sources into structured datasets for ongoing analysis and reporting. • Designing and building Power BI dashboards tracking financial trends, student performance, and teacher metrics; producing termly reports presented to relevant staff and directors board.
📫 Reach me: open to collaborations on data science and ML projects.