Python engine that analyzes 25 years of WTI oil and Henry Hub gas prices to output BUY/WAIT/WATCH procurement recommendations using FRED API data.

SQL analysis identifying $1.2M in recoverable IT spend — ghost licenses, cloud anomalies, and AWS vs Azure overspend for a simulated PE firm.

Operational supply chain analytics project using SQL and Python to analyze demand trends, procurement activity, delivery performance, inventory classification, and operational KPIs.

End-to-end procurement analysis covering €60K supplier spend, OTIF performance tracking, weighted bid evaluation and material cost forecasting — identifying €1,490 in potential cost savings across 5 suppliers and 6 materials.

Data engineering system for explainable prioritization of Colombian public-procurement review using SECOP open data

End-to-End Python implementation of Christodoulides's (2026) interpretable forensic decision-support engine for institutional procurement integrity. Implements: graph-based supplier entity resolution, robust IQR standardization, Gaussian Mixture Model regime extraction, and a decomposable PHI composite score for prioritized audit triage.

Data-driven analytics and ML clustering of Uzbekistan's public procurement registry (STIR: 201122919). Features spend optimization, vendor risk intelligence, and interactive visualizations.

Procurement risk analytics platform built in R/Shiny using Polish public procurement data (Atlas Przetargów). Features Benford screening, buyer & vendor risk scoring, relationship analytics, concentration monitoring and Dockerized deployment. Developed as an end-to-end analytics product for procurement risk screening and audit support.

Africa's first AI-native construction operating system — instant BoQ generation, live material procurement, and professional project management unified in one platform. From design brief to material order in seconds, not weeks.