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pnascimento9596/README.md

Paulo Nascimento

Healthcare Procurement Analytics · Clinical Engineering Intelligence · AI Research

Director of Analytics specializing in healthcare supply chain optimization. I've identified $26M+ in cost savings across $296M+ in analyzed spend for 16 hospital systems — spanning orthopedic implants, biomedical equipment services, biologics, radiology, and clinical engineering contracts.

I build tools that encode real procurement domain expertise into software.

Flagship Project

CEIntel — Clinical Engineering Intelligence

A Python-based RFP evaluation engine for healthcare equipment service procurement — built for $10M–$100M+ service contracts and inventories spanning 200,000+ devices. Normalizes structurally incomparable vendor bids, detects hidden costs using 8 pattern-based rules, and scores vendors on weighted clinical engineering criteria.

Now includes Monte Carlo simulation, 5-year TCO projection, modality-level bid analysis, and a web-based analysis platform with 5 specialized workflows.

Why it exists: Health systems routinely compare a $17M pass-through bid against a $20M full-service bid without decomposing OEM markup, ghost asset inflation, or coverage level mismatches. CEIntel solves this.

1,200+ tests · Web platform · Private repository

📩 Request a demo

Portfolio

Project What It Does Stack
CEIntel RFP bid normalization, hidden cost detection, vendor scoring, Monte Carlo simulation, TCO projection for clinical engineering contracts Python, Pydantic v2, Streamlit, NumPy
ortho-implant-benchmarking Orthopedic implant spend analysis — cross-referencing, catalog normalization, GPO benchmark comparison Python, pandas
healthcare-spend-dashboard Interactive procurement spend visualization across implant categories, vendors, and surgical volume Python, Streamlit
ghost-asset-detector Identifies decommissioned/non-existent equipment in clinical engineering inventories Python, pandas

Pinned Loading

  1. ghost-asset-detector ghost-asset-detector Public

    Automated detection of ghost assets and inventory discrepancies in healthcare equipment databases for clinical engineering contract optimization

    Python

  2. healthcare-spend-dashboard healthcare-spend-dashboard Public

    Interactive healthcare procurement spend analysis dashboard built with Streamlit and Plotly

    Python

  3. ortho-implant-benchmarking ortho-implant-benchmarking Public

    Orthopedic implant price benchmarking and cross-reference savings analysis tool for healthcare procurement

    Python

  4. equipcost-forecast equipcost-forecast Public

    Predictive analytics platform modeling biomedical equipment lifecycle costs with time-series forecasting and NPV repair-vs-replace analysis. Python, FastAPI, Streamlit, statsmodels.

    Python

  5. medspend-normalize medspend-normalize Public

    ETL pipeline and anomaly detection engine that normalizes multi-source healthcare spend data and identifies pricing outliers across hospital systems. Python, FastAPI, SQLAlchemy, scikit-learn.

    Python