π Applied Statistics with Computing graduate
π Data Analyst | Data Engineer | ML Enthusiast
π» I turn raw data into real business and social impact through data pipelines, machine learning models, and dashboards.
- Languages: Python, SQL, R
- Libraries: Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Matplotlib, Seaborn
- Tools: Streamlit, Apache Kafka, Spark, MySQL, Git, Power BI, RedCap, ODK
- Data Workflows: Data wrangling, ETL pipelines, ML modeling, real-time analytics
ML-powered risk scoring system with Streamlit frontend, SHAP explainability, and Plotly visuals
Random Forest classifier on clinical data with a real-time interactive UI using Streamlit
Real-time stock tracking using APIs, Kafka, Spark, and MySQL
Exploratory data analysis of crime trends using Python and visualization libraries
- π [LinkedIn]https://www.linkedin.com/in/evans-kiplangat-375646179
- π¬ Email: [email protected]
- π§ portfolio;https://evans-kiplangat-portfolio27.netlify.app/
Thanks for visiting. Iβm always open to collaboration, feedback, or new opportunities.