Applied Analytics & Data Science Projects

Below are example applied projects that show my transition from research to business-relevant analytics.

Route optimization for climate-resilient logistics (demo)

Goal: Demonstrate integrating hazard maps into delivery route optimization.
Tools: Python, OR-Tools, QGIS, PostGIS (demo code in linked repo).
Outcome: Example routes and cost trade-offs under hazard scenarios.

Time-series forecasting of seasonal demand / environmental signals

Goal: Apply ARIMA/VAR models to forecast seasonal signals (e.g., rainfall or energy output).
Tools: Python (statsmodels), R (forecast), model evaluation scripts.

Customer / stakeholder segmentation (demo)

Goal: Clustering to segment stakeholders for targeted engagement (KMeans, hierarchical).
Tools: scikit-learn, PCA, silhouette diagnostics.

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Each item here links to a code repo or notebook. (As I add public notebooks and dashboards I’ll link them here.)