Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.
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Updated
Sep 29, 2025 - Python
Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.
Building a nearest-neighbor classifier to predict online shopping purchase completions based on user browsing behavior. The project uses a dataset of 12,000 sessions, analyzing features like pages visited, session duration, and bounce rates
Power BI Customer Intelligence Platform with customer analytics, profitability analysis, forecasting, KPI dashboards, executive insights, and CFO strategic decision support.
Analysis customer behavior in a movie center
Real-time Customer Behavior Analytics for Glamira, Powered by Kafka, Spark, and Airflow
A baseline report for ACE Superstore, a UK retail chain, analysing regional sales, customer behaviour and product profitability across online and in-store channels.
End-to-end batch pipeline for Glamira clickstream: ingest, enrich, and transform data into a BigQuery star schema via GCS and dbt.
Real-time retail analytics platform that converts CCTV footage into actionable store intelligence. Features customer tracking, conversion funnels, heatmaps, anomaly detection.
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