Evans Ochieng

Data Analyst

I focus on transforming raw data into meaningful insights that guide confident decisions.

I work at the intersection of analysis and engineering, designing data workflows that make raw information useful and accessible. With a background in programming, databases and statistics, I build systems that help teams work with data more clearly, efficiently, and at scale.

My experience spans large corporations and research teams, where I’ve improved analytical workflows to support better decisions and deeper insight. In my spare time, I continue to explore data driven questions through personal projects, some of which are shared below.

Recent Work

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  • Image of the House Price Data Exploration project
    House Price Data Exploration

    Exploring the key factors influencing house prices, aiming to support buyers in making informed offers and assist sellers in setting realistic, data driven valuations.

    • Python
    • Pandas
    • Matplotlib
  • Image of the XAI Fraud Detection project
    Credit card fraud detection

    Applying Machine Learning to a simulated credit card dataset to detect fraudulent transactions, with a focus on explaining model behaviour and the decisions made.

    • Python
    • Pandas
    • Matplotlib
    • PyTorch

Experience

  • 2024 - 2024
    Data Analyst, London School of Hygiene and Tropical Medicine

    I worked on a project assessing the impact of a school feeding programme in urban Kenya. Using R , I analysed dietary data from over 1,200 children to uncover key nutritional gaps and educational trends. Insights were shared through reports and visualisations, shaping recommendations for future programme design.

  • 2022 - 2023
    Master of Science (MSc) in Data Science, University of Surrey

    Developed a strong foundation in statistical analysis, machine learning, cloud computing and natural language processing.

Let's Connect

Feel free to reach out via any of my listed contacts. I'm always open to a conversation and exploring how we can work together.