Search Query Analysis & Topic Modeling
Analyzed website search queries, identified key topics, and extracted entities to improve user understanding and site performance.
Analyzed website search queries, identified key topics, and extracted entities to improve user understanding and site performance.
Identified anomalies in kiosk performance using time series analysis, seasonal decomposition, and Isolation Forest, visualized with interactive charts.
This project employed a rule-based approach to maximize conversions and logins by analyzing user engagement patterns, demonstrating my ability to deliver data-driven solutions.
Conducted an A/B test analysis using Bayesian methods to compare website variants, providing clear insights into conversion performance and device-specific trends.
This project automates EDA using Python and GPT-4, providing quick insights, identifying issues, and making recommendations.