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Analysing data and coming up with insight
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Analysing data and coming up with insight

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agyekumboadi/README.md

Samuel Boadi Agyekum

I build data-driven and security-aware analytics systems focused on machine learning, explainability, and reproducible delivery.
My work spans sports performance analytics (football + cross-sport testing) and information security / governance in regulated environments.

Current focus

  • Predictive modelling (Logistic Regression, Random Forest) with PCA and robust evaluation
  • Model explainability using SHAP (global + individual explanations)
  • Translating analytics into decision-ready outputs (clear visuals, documented assumptions, reproducible runs)
  • Security + governance in data projects (GDPR-aware processing, risk thinking, auditability)

Featured projects

  1. Player Performance Analysis in Sports Using Data Analytics
  2. Information Security Strategy & IT Security Management
  3. IS Governance Case Study (Regulated UK environment)

Evidence index

See: evidence-index - curated links to key outputs, figures, and supporting explanations.

Tooling

Python (pandas, scikit-learn, SHAP), Jupyter, Tableau, Jamovi, Git/GitHub

Pinned Loading

  1. player-performance-ml-pipeline player-performance-ml-pipeline Public

    Reproducible ML pipeline for multi-sport player performance prediction (PCA, Random Forest, SHAP) with cross-sport testing and evaluation artefacts.

    Jupyter Notebook

  2. information-systems-governance-frameworks information-systems-governance-frameworks Public

    IS governance + GDPR-aligned controls mapped to a regulated UK homecare environment (Birdie, BrightHR): risks, safeguards, auditability, and operational improvements.

  3. information-security-strategy-playbook information-security-strategy-playbook Public

  4. data-cleaning-and-decision-insights data-cleaning-and-decision-insights Public

  5. data-visualisation-portfolio data-visualisation-portfolio Public

  6. evidence-index evidence-index Public

    Curated evidence index for Tech Nation (Exceptional Promise)