Finance roots. Data science wings
I turn complex data into actionable insight—whether it's uncovering what drives audience behavior or supporting talent discovery in football. With a sharp eye for patterns and a solid business foundation, I bridge data science with real-world impact.
Currently applying this approach at West Park Football Academy, where data-informed strategy helps shape future champions.
| Project | Description | Tech Stack |
|---|---|---|
| Movie Industry Trend Analysis | Explored key factors behind box office success through regression analysis, helping guide strategic decisions for a film studio. | Python, Pandas, Seaborn, Matplotlib, Scikit-learn |
| Social Health Insurance Chatbot | Built a rule-based chatbot to answer questions on Kenya’s Social Health Insurance Fund. Integrated with a Flask app for web deployment. | Python, Rasa, Flask, YAML |
| Sentiment Analysis on Customer Reviews | Developed an NLP pipeline to classify customer sentiment using text cleaning, vectorization, and machine learning models. | Python, NLTK, Scikit-learn, Pandas |
| Project | Description | Tech Stack |
|---|---|---|
| Churn Prediction Model | Built a supervised learning model to predict customer churn. Focused on feature engineering, model evaluation, and business insight. | Python, Scikit-learn, Pandas |
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Thanks for visiting! Let’s turn raw data into real impact. 🌍📊