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
A baseline report for ACE Superstore, a UK retail chain, analysing regional sales, customer behaviour and product profitability across online and in-store channels.
Analysis customer behavior in a movie center
Real-time Customer Behavior Analytics for Glamira, Powered by Kafka, Spark, and Airflow
End-to-end batch pipeline for Glamira clickstream: ingest, enrich, and transform data into a BigQuery star schema via GCS and dbt.
📊 Analyze customer segments using RFM and K-Means clustering to enhance targeted marketing and optimize engagement strategies.
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