- Developed predictive models (Random Forest, XG- Boost) to forecast student grades using attendance, demographics, and academic performance data
- Analyzed student data, identifying key factors influencing performance, improving intervention success by
- 15
- Created Tableau and Matplotlib dashboards to track student performance and attendance, supporting datadriven
- Built ETL pipelines to automate data processing, cutting manual effort by 25
- Applied NLP (using NLTK, Spacy) to analyze openended feedback, improving program insights