Selected work

A sample of the analytical challenges I've tackled and became my favourites. Each one started with a question and ended with an answer — ideally a useful one.

Network
Network Analysis
Mapping complex entity relationships and identifying structural patterns in large-scale network data using graph theory and community detection algorithms.
Python NetworkX Visualization
Satisfaction · 4.85/5.0
Field Ops
Field Operations Study — La Poste
One analyst. Three people's workload. 1,780 letterboxes, 300 kg of mail, and a daily 2.7-hour deficit — solved with route optimisation, simulation, and predictive scheduling.
Python Simulation Route Opt. Field Data
Satisfaction · 5.0/5.0
ML / Stats
Fraud Detection System
  • Performance Improvement
  • Fraud Pattern Distribution by Type
  • Financial Impact
  • Temporal Fraud Patterns
R SAS Python Sci-kit learn
Satisfaction · 4.98/5.0