IBM Applied Data Science Capstone: data collection, SQL and visual analysis, and classification models predicting Falcon 9 first-stage landing success.
PythonPandasSQLScikit-learnFoliumJupyter
Charles Gitonga · Nairobi, Kenya
Data Scientist using Python, SQL, and machine learning to turn data into useful insights.
I use Python and SQL to explore data, build analyses and predictive models, and communicate findings. My work includes the IBM Data Science Professional Certificate and projects spanning data science and data infrastructure.
Selected projects
All projectsKenya Data
2026Structured Kenyan administrative data distributed through portable SQLite, Python, and TypeScript SDKs.
PythonTypeScriptSQLiteData EngineeringSDKs
A community TypeScript SDK for integrating applications with the KRA eTIMS OSCU JSON API.
TypeScriptNode.jsREST APIsZodSDK Design
Data science toolkit
Data Science
- Data analysis
- Exploratory data analysis
- Machine learning
- Predictive modeling
Tools & Languages
- Python
- SQL
- Jupyter
- TypeScript
Data Work
- Data wrangling
- Data visualization
- Data validation
- Data provenance
Data Platforms
- Pandas
- NumPy
- Scikit-learn
- SQLite
- PostgreSQL
Open source
Data science projects, datasets, and tools I build and share in the open. Browse everything on GitHub .
Writing
All posts- How I Built Kenya Data: From Administrative Sources to Python and TypeScript SDKs
A technical walkthrough of building a structured Kenyan administrative-geography dataset, validating its relationships, distributing it through SQLite, and exposing it through Python and TypeScript SDKs.
Get in touch
Open to data science opportunities, collaboration, and interesting data challenges.
gitongachas@gmail.comContact