Data Engineering · Predictive Analytics

Tech Liquidators Intelligence Engine

An automated decision-support pipeline estimating liquidation ROI via cross-market pricing analysis.

Description

Developed a Python-based data engineering pipeline to solve the information asymmetry market problem in bulk liquidation. The system ingests unstructured manifest data (CSV/XLSX), normalizes SKU variants, and performs real-time price discovery against eBay's API. A custom statistical heuristic (IQR-based outlier rejection) filters volatile market data to generate conservative Max Bid thresholds, enabling data-driven capital allocation with a quantifiable risk profile.

Key Achievement

Transforming raw, unstructured manifest data into a precision financial instrument, effectively reducing bad-buy risk by estimated 40% through automated due diligence.

Technology

PythonPandasStreamliteBay API