End-to-end data engineering and BI project for electrical asset procurement using Python, DuckDB, Parquet, forecasting and Power BI.
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.
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.
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.
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.
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.
Vendor Performance Analytics Dashboard | Power BI solution for evaluating supplier efficiency, procurement spend, delivery performance, and purchasing trends
Enterprise supply-chain risk engine using Polars, DuckDB, Pandera, resilient HTTP, Gemini AI briefings, geospatial risk visualization, and executive reporting.
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.
Explainable prioritization of Colombian public-procurement (SECOP open data); FastAPI + Dash on Render; live: contratia-dashboard.onrender.com
Machine Learning based procurement analytics platform for freight cost prediction and invoice risk flagging.
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.
Tutorial and examples for converting official EU TED notices into provenance-preserving winner rows
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.
End-to-end procurement analytics project using Power BI, Python, SQL, machine learning, and forecasting for spend, supplier performance, compliance, risk, and segmentation.
An end-to-end analytics solution combining SQL, Tableau, and business decision models for procurement intelligence.
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