Data Scientist · AI/ML Engineer · MLOps Practitioner · Full-Stack Analytics
6+ years turning complex models into production-ready solutions that drive real business impact.
Seasoned Data Scientist & AI/ML Engineer with 6+ years of experience delivering end-to-end ML solutions across climate science, fintech, telecommunications, healthcare, agri-tech, and capital markets. I specialize in designing and automating scalable ML systems — from model development through to production deployment — using modern MLOps tooling, cloud-native infrastructure, and GenAI frameworks.
Currently based in Nairobi, Kenya · Open to opportunities worldwide (remote / hybrid / relocation)
| Degree | Institution | Scholarship |
|---|---|---|
| MPhil, Environmental Science | The Cyprus Institute, Nicosia, Cyprus | Cyprus Institute Merit Scholarship |
| MSc, Mathematical Sciences (Data Science) | University of Western Cape / AIMS, Cape Town, South Africa | MasterCard Foundation Scholarship |
| BSc, Mathematics | University of Nairobi, Kenya | Finlays Undergraduate Scholarship |
| Certification | Issuer | Year |
|---|---|---|
| AWS Cloud Practitioner | Amazon Web Services | 2025 |
| AWS Cloud Practitioner Essentials | Amazon Web Services | 2025 |
| AWS Generative AI | Amazon Web Services | 2025 |
| AWS SageMaker | Amazon Web Services | 2025 |
| Google Agentic AI Training | 2025 | |
| MasterCard Foundation Scholar | University of Western Cape / AIMS | 2022 |
| Cyprus Institute Merit Scholar | The Cyprus Institute | 2023 |
| Finlays Undergraduate Scholar | University of Nairobi | 2018 |
- 6+ years delivering Data Science and ML solutions across Fintech, Climate, Telecom, and Healthcare
- Expertise in predictive analytics, credit risk, anomaly & fraud detection, churn prediction, survival analysis, time series forecasting, RFM segmentation, A/B testing, and customer intelligence
- Proficient in Python, R, SQL, TypeScript — Scikit-learn, TensorFlow, XGBoost, LightGBM, CatBoost, LSTM, PyOD, SHAP, LIME
- MLOps: Docker, Kubernetes, MLflow, FastAPI, Django, CI/CD (GitHub Actions), AWS (EC2, S3, SageMaker — Cloud Practitioner certified), GCP (BigQuery), Azure DevOps
- GenAI & LLM Engineering: RAG pipelines (LangChain, ChromaDB, FAISS), GPT, Mistral, LLaMA (HuggingFace / OpenAI / OpenRouter APIs), Google Agentic AI (multi-agent, memory, tool-use, evaluation), prompt engineering, semantic search
- Full-Stack Analytics Platforms: Next.js 16, React, TypeScript, Tailwind CSS, Recharts — production-deployed on Vercel
- Committed to leveraging advanced analytics for risk minimization, business growth, and social impact
- 📡 ChurnPulseNet Analytics — expanding with real ISP API integrations and advanced retention modelling
- 🤖 AI QA Automation — LLM-powered contact centre quality assurance and coaching insights platform
- 📞 IVR Intent Analytics — ML platform for IVR intent classification and operational analytics
- 🌱 Deepening expertise in agentic AI frameworks — LangGraph, CrewAI, AutoGen
| Sector | Key Work |
|---|---|
| 🌿 Climate & Environment | Air quality sensor calibration, IoT ML, WHO/EPA/EU/NEMA regulatory analysis — Cyprus & Nairobi |
| 💳 Fintech & Credit Risk | Credit scoring, fraud detection, anomaly detection, lending automation, portfolio analytics |
| 📡 Telecommunications | Churn prediction, CLV modeling, RFM segmentation, survival analysis, A/B retention experiments (500K subscribers) |
| 🏥 Healthcare | COVID-19 CT scan detection, brain tumor MRI classification, healthcare accessibility GIS mapping |
| 🌾 Agri-tech | IoT sensor data processing, predictive analytics, burn stove usage pattern analysis |
| 🎯 Sports Analytics | Real-time arbitrage detection, odds scraping, probabilistic pricing across 5 Kenyan bookmakers |
| 🏢 Contact Centre / CX | AI QA automation, IVR intent classification, customer experience analytics |
| Project | Description | Links |
|---|---|---|
| 📡 ChurnPulseNet Analytics | Full-stack Kenyan broadband customer intelligence — 500K subscribers, 7 ISPs. Churn prediction (Random Forest, Cox survival, SHAP), ARIMA/XGBoost/LSTM forecasting, RFM segmentation, cohort analysis, A/B experiments, global provider filter | 🌐 Live · GitHub |
| 💳 CreditIQ | Credit risk intelligence platform with ML credit scoring, fraud detection, and portfolio analytics | 🌐 Live |
| 🌿 AirIQ | Real-time air quality intelligence for all 17 Nairobi subcounties. Spatial ML interpolation, WHO/EPA/EU/NEMA compliance, Gemini AI health advisor, healthcare cross-analysis | 🌐 Live |
| 🤖 AI QA Automation | LLM-powered platform for automated contact centre quality assurance and coaching insights | 📸 Screenshot |
| 📞 IVR Intent Analytics | ML platform for IVR intent classification and operational analytics | 📸 Screenshot |
| 🤖 Vincent AI Assistant | Personal RAG chatbot grounded on CV, portfolio and research documents — LangChain, ChromaDB, Ollama | GitHub |
| Project | Description | Tools |
|---|---|---|
| 🌍 Air Quality Monitoring — Nicosia, Cyprus | Calibrates low-cost electrochemical sensors using ML to meet EU/EPA standards. 6 months real sensor data, humidity & cross-gas interference analysis. Medium ↗ | Python, XGBoost, RF, SVR, ANN, FLAML |
| 🤖 Credit Scoring & Lending Automation | End-to-end loan approval system with ML pipelines replacing manual decisions. Feature engineering, fairness evaluation, personalized pricing. Medium ↗ | Python, RF, XGBoost, LightGBM, CatBoost |
| 🛡️ Anomaly & Fraud Detection in Finance | PyOD + FLAML AutoML for fraud detection on imbalanced credit card data. Isolation Forest, Autoencoders, SMOTE, ROC-AUC evaluation. Medium ↗ | Python, PyOD, FLAML, XGBoost, SHAP, LIME |
| 🏥 Healthcare Accessibility in Nairobi | Data-driven SDG 3 analysis of Nairobi's healthcare infrastructure. Population demographics, facility distributions, spatial accessibility gaps. Medium ↗ | GeoPandas, OSRM, Folium, QGIS, Plotly |
| 📉 Customer Churn Analysis & Prediction | Telecom churn prediction with Cox PH survival analysis, Kaplan-Meier curves, SHAP explanations and interactive risk scoring tool | Python, Flask, Scikit-learn, SHAP, Cox PH |
| 📊 Sales Time Series Analysis | Sales forecasting with ARIMA, SARIMA, LSTM, XGBoost, and Prophet. Walk-forward validation, seasonal decomposition, model comparison | Python, ARIMA, SARIMA, LSTM, Prophet |
| 🩺 COVID-19 Detection from CT Scans | Deep learning pipeline for COVID-19 detection using ResNet50, DenseNet169, MobileNetV2. Transfer learning + ensemble methods. Medium ↗ | TensorFlow, Keras, CNN, ResNet50 |
| 🧠 Brain Tumor Detection | MRI brain tumor classification — 99.8% accuracy with MobileNetV2, DenseNet169, ResNet50, transfer learning and FLAML AutoML | TensorFlow, Keras, CNN, FLAML |
| 🚀 Active Learning API | Django backend for intelligent data labeling. CatBoost, MLflow tracking, active query strategies to minimize annotation effort | Django, CatBoost, MLflow, REST API |
| 💻 ML Loan Application Web App | Streamlit app for instant loan approval using Random Forest and Logistic Regression with real-time user input | Python, Scikit-learn, Streamlit, Flask |
| 🌐 Personal Portfolio Website | Personal website showcasing projects in Data Science and AI | HTML5, CSS3, JavaScript |
- 📡 Sensor Calibration and Air Quality Monitoring in Nicosia, Cyprus
- 🤖 Credit Scoring & Lending Automation
- 🛡️ Anomaly Detection in Credit Card Transactions using PyOD and FLAML
- 🏥 Enhancing Healthcare Accessibility in Nairobi, Kenya
- 🩺 COVID-19 Detection from CT Scans using CNNs
➡️ View all articles on Medium →
Languages
ML & AI
GenAI & LLM
Backend & APIs
MLOps & Cloud
Data & Databases
Visualization & BI
Developer Tools
- 🇬🇧 English — Professional proficiency
- 🇰🇪 Swahili — Native
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I'm open to working on AI/ML, data science, fintech, climate tech, and full-stack analytics projects.
💬 Reach out — always happy to collaborate on meaningful, impactful work!
