At SDU Data Analysis Lab, I developed a Python pipeline to collect and preprocess text from SDU Telegram communities. I used NLP and topic modeling to analyze sentiment, identify six thematic clusters, and prepare insights and recommendations for university management.
In my projects, I built analytical workflows for product feedback, customer behavior, research publications, and workforce insights. I developed churn and cross-sell prediction models, and created interactive dashboards in Streamlit and Power BI to explore findings.
