procurement-analytics

PostgreSQL-based Procurement & Supply Chain Analytics project analyzing supplier performance, PPV, inventory, sourcing risks, working capital, and procurement spend using advanced SQL

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.

2026 Global Supply Chain & Logistics Intelligence Workbench (Bilignual-ZH/EN). Features 4s real-time ocean spot rate telemetry, 7 industry vertical deep-dives, Nearshoring/ESG risk modeling, and Gemini 2.5 Search Grounded RAG.

End-to-end data engineering and BI project for electrical asset procurement using Python, DuckDB, Parquet, forecasting and Power BI.

An end-to-end analytics solution combining SQL, Tableau, and business decision models for procurement intelligence.

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

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.

Evidence-governed procurement transaction intelligence — Public Procurement Intelligence Study #001, San Francisco.

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.

Procurement files assignment tracking system

Python/SQL construction-estimating and KPI reporting workflow for supplier savings, benchmark price variance, reconciliation controls, and profitability/ROI metric governance.

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

A Python tool for scoring and prioritizing procurement opportunities using margin, technical fit, delivery feasibility and risk.

Enterprise supply-chain risk engine using Polars, DuckDB, Pandera, resilient HTTP, Gemini AI briefings, geospatial risk visualization, and executive reporting.

Vendor Performance Analytics Dashboard | Power BI solution for evaluating supplier efficiency, procurement spend, delivery performance, and purchasing trends

Colombian open-procurement data pipelines and interpretable signals for human review

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.

Synthetic civic procurement intelligence reference implementation using Microsoft Fabric, Power BI, and Fabric Data Agent.

Procurement Analytics & Data Science professional with 8+ years of sourcing and supply chain experience, leveraging SQL, Python, Power BI, and Machine Learning to drive data-driven business decisions.