MSc Data Science & Project Management Graduate Specialising in Energy Analytics, Risk Intelligence, and ML-Driven Project Insights.
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🏗️ 1. Construction Project Risk Intelligence Pipeline: 5-stage pandas risk pipeline across 1,300 tasks and a $64.4M portfolio, surfacing 87 underestimated risks and 5 critical schedule threats.
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⚡ 2. Smart Meter Energy Analytics & Forecasting: 1.2M-row smart meter dataset; lifted demand prediction accuracy by 40% using XGBoost and Prophet forecasts.
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🏗️ 3. Infrastructure & Heavy Engineering Analytics: EVM analytics detecting a 60.1-day optimism bias and achieving 29.79 MAE in schedule forecasting.
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📊 4. Energy Policy A/B Test (Inferential Statistics): Policy impact evaluation via hypothesis testing (p-value = 0.0021, 99%+ confidence), quantifying a 4.33% reduction in peak-hour energy usage.
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⚓ 5. Naval Engineering: Schedule & Cost Performance (EVM): P6-style submarine maintenance simulation tracking SPI, CPI, and Schedule Variance across 500 tasks.
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🛳️ 6. Naval Engineering Schedule Analysis & Resource: S-curve and Critical Path analysis surfacing a 15-day procurement delay to protect fleet readiness.
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🧬 7. Computational Design of RNA Thermoswitches (MSc Dissertation): Scientific ML for RNA thermoswitch behaviour using XGBoost (R² = 0.90), screening 50,000+ sequences in under 10ms per candidate.
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🏠 8. California Housing — Cleaning & EDA: 20,640-district EDA; imputed 207 missing values, flagged 965 price-capped records, and showed median income (r ≈ 0.69) driving a ~2× coastal premium.
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⚽ 9. Football Passing Network Analysis: NetworkX + mplsoccer passing networks measuring team width, length, and assortativity from StatsBomb data.
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⚽ 10. EPL Match Win Prediction System: EPL match outcome model using TimeSeriesSplit and GridSearchCV (RandomForest).
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🧠 11. MNIST Digit Classification: Computer vision classifier achieving 97.8% accuracy on MNIST.
- Languages: Python (Pandas, Scikit-Learn, XGBoost, TensorFlow, Prophet), SQL (DuckDB, PostgreSQL)
- Visualisation: Power BI, Tableau, Matplotlib, Seaborn
- PM Tools: Primavera P6 (Logic), Earned Value Management (EVM), Agile
- Specialities: Time-Series Forecasting, Anomaly Detection, Multivariate Regression, Risk Scoring & Pipeline Architecture
- Data Engineering: pandas pipelines, feature engineering, schema validation, automated reporting
📫 How to reach me: ken.wolo@yahoo.co.uk | LinkedIn