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πŸ‘‹ Hi, I'm Evans Kiplangat

πŸŽ“ Applied Statistics with Computing graduate
πŸ“Š Data Analyst | Data Engineer | ML Enthusiast
πŸ’» I turn raw data into real business and social impact through data pipelines, machine learning models, and dashboards.


πŸ”§ Technical Skills

  • 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

πŸ“‚ Featured Projects

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


🌍 Let’s Connect

Thanks for visiting. I’m always open to collaboration, feedback, or new opportunities.

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