Optimizing User Engagement Through Rule-Based Analysis
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.
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Time Series Anomaly Detection for Kiosk.nl Performance
Identified anomalies in kiosk performance using time series analysis, seasonal decomposition, and Isolation Forest, visualized with interactive charts.
Automated Customer Feedback Analysis
This project uses Python, pandas and OpenAI to analyze user feedback from Excel files, classify the feedback into relevant topics, and determine the sentiment of the responses.
Automated server-side A/B Test Creation
Automated the creation of A/B tests in Optimizely, saving time and reducing errors. This project highlights my ability to integrate multiple APIs and automate complex workflows, significantly improving efficiency.