samuel gathogo samuelMG1

Samuel Gathogo — Data Scientist | ML Systems for real-world impact

Building data-driven systems that scale in emerging markets. Currently deepening into optimization & supply chain modeling alongside applied ML.

🌱 Currently engineering end-to-end ML pipelines for agriculture & recommendation systems
📦 Actively building toward optimization and supply chain analytics — mathematical modeling, routing/location problems, and ML-augmented decision systems
🛠️ Deepening MLOps — Docker, FastAPI, cloud serving on Azure
💬 Ask me about: predictive modeling, feature engineering, the Python data stack, IoT data pipelines, and supply chain optimization
📍 Based in Nairobi, Kenya — passionate about tech solving Africa's real problems
⚡ Fun fact: Tabs > Spaces, and I will defend this in production

Domain	Tools
ML / DL	TensorFlow, scikit-learn, Keras, XGBoost
Data	Python, Pandas, NumPy, SQL, MySQL
MLOps	Docker, FastAPI, Git, Azure, Linux
Databases	MongoDB, MySQL, PostgreSQL
IoT / Sensors	Time-series analysis, sensor data pipelines
Optimization (building)	Mathematical modeling, location-routing problems, RL extensions

ML/DL-powered web app recommending optimal crops, fertilizers, and detecting plant disease from soil and leaf-image data.

Stack: Python, scikit-learn, Flask, Jupyter
Scope: Crop recommendation, fertilizer recommendation, and plant disease detection (image-based) in one system
Status: Active — disease detection module in development

Predicts churn risk from customer behavior and usage patterns to support retention strategy.

Mathematical modeling and location-routing problem (LRP) work, exploring ML/RL extensions for supply chain decision-making.

💼 LinkedIn: linkedin.com/in/samuel-gathogo
📍 Location: Nairobi, Kenya
🎯 Open to: Data Scientist / ML roles, with growing focus on optimization, supply chain analytics, and quantitative decision systems — in agri-tech, fintech, and impact-driven organizations