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Work

Case studies show how each system was tested and where it falls short. Every figure comes with the data it was measured on, or a Private work label.

7 items, tagged ML

Case studies

  1. Public code

    Real-time credit-card fraud detection

    A LightGBM fraud model, evaluated on transactions it never saw in training, with 1.4 ms p95 in-process model inference.

    • ML
    • Evaluation
    • Fintech
    • MLOps

    0.80F1 on the time-ordered holdout42,722 held-out transactions; the 0.85 target was missedEvidence for F1 on the time-ordered holdout: Holdout metrics and latency (reports/end_to_end_optimized_results.json) (opens in new tab)

  2. Private work

    ComplianceGuard, anti-money-laundering monitoring for Kenya

    A pre-pilot platform that turns M-Pesa-style payments into holds, cases and drafted reports under Kenyan anti-money-laundering law.

    • Fintech
    • ML
    • Security
    • Data

    35money-laundering typologies encodedtested on synthetic M-Pesa-style data onlyEvidence: Private work

  3. Public code

    GEO-AI cropland mapping from satellite data

    Crop versus non-crop from Sentinel-1 and Sentinel-2 data in two regions, with an honest look at where the evaluation flattered the model.

    • ML
    • Data
    • Evaluation
    • Agritech

    0.745held-out accuracy, RandomForest200 points; majority-class baseline 0.703; random splitEvidence for held-out accuracy, RandomForest: Notebook with every run and its output (index.ipynb) (opens in new tab)

Other projects

  • Customer Churn ML System

    Reproducible churn modelling with validation-based model and threshold selection, MLflow tracking, FastAPI serving and drift checks.

    • ML
    • MLOps
    • Evaluation

    2026Repository (opens in new tab)

  • Demand Forecasting System

    A demand forecasting system with published documentation of its data pipeline and models.

    • ML
    • Data

    2026Repository (opens in new tab)Live app (opens in new tab)

  • MovieLens Recommender System

    Five recommendation approaches compared with ranking and rating metrics, including a hybrid for cold-start users (Moringa School project).

    • ML
    • Evaluation

    2025Repository (opens in new tab)

  • Bank Customer Segmentation

    K-Means segmentation of bank customers on demographic and transaction data to target personalised offers.

    • ML
    • Data
    • Fintech

    2024Repository (opens in new tab)