Analyzed marketplace data to uncover revenue drivers, user behavior trends, and marketing ROI insights.
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Updated
Apr 19, 2026 - Jupyter Notebook
Analyzed marketplace data to uncover revenue drivers, user behavior trends, and marketing ROI insights.
🔍 Scrape detailed product listings from Vinted seller profiles, transforming catalogs into structured data for analysts, resellers, and researchers.
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Extract Facebook marketplace listings efficiently
Wildberries financial analytics in Power BI. Star-schema modeling, MoM logic, drillthrough and financial reconciliation.
Vinted seller product scraper
Store-level contribution analysis, risk prioritization, and margin recovery strategy for a delivery marketplace.
Governed multi-marketplace BI architecture (WB / OZON / YM). TDP → T+3 Executive → T+7 CFO Snapshot with freeze control.
Deep exploratory analysis of NYC TLC trip data to understand demand patterns, zone-level variability, seasonality, and revenue distribution. Conducted structured EDA on spatial heterogeneity, temporal trends, skew, feature correlations, and lag effects. Built Prophet and LightGBM models.
AI-powered assistant that can assist with resale questions
End-to-end exploratory data analysis of food delivery demand, customer behavior, and revenue concentration to support marketplace optimization.
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