I work primarily in data science and machine learning, predictive modeling, analytics, and data engineering, extending into production-oriented applications. The work here is applied: trained models, working dashboards, and shipped software, rather than tutorials or forked boilerplate. I maintain Skynet DataGrid Labs, an organization for data and ML engineering projects, and build independently outside it as well.
current_focus TechPulse — predicting developer technology trajectory
direction Machine Learning Engineering
organization Skynet DataGrid Labs
location Nairobi, Kenya
TechPulse: Final-year project. An ML platform that predicts a developer's technology trajectory from skill and activity signals.
Python scikit-learn predictive modeling. Currently in it's final touches...
Tableau Dashboard Templates: Independent product line of production-ready Tableau dashboards, including builds on Kenyan datasets (47 counties, FMCG sales). Distributed through Selar and a Google Sites storefront.
Tableau data visualization analytics
WebScraping in R: Demonstration of web scraping in R using rvest with interactive 3D terrain visualization in Plotly.
Customer churn prediction: This repository simulates a real-world company ML pipeline using GitHub Actions ONLY (no local execution required).
CIFAR-10 image detection: I implemented reproducible training environments, image optimization strategies, and containerized file management patterns using TensorFlow and the CIFAR-10 dataset using docker and Kubernetes clustering principles.
Additional projects at github.com/skynet-datagrid-labs
Languages — Python, Java, R, C++, C, Scala, TypeScript
Data & Machine Learning — Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Keras, MLflow, Plotly
Data Engineering — Apache Spark, Hadoop, Airflow, PostgreSQL, Firebase
Analytics & Visualization — Tableau, Power BI, Plotly
Cloud & Infrastructure — Azure, Google Cloud, Vercel, Netlify, Git, GitHub Actions
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