🎓 Educational quality analysis using Machine Learning and Data Mining techniques on student feedback data
Student Performance Analysis project using Python, Pandas, Matplotlib, and Seaborn to analyze academic performance, attendance patterns, and visualize educational insights.
Power BI dashboard and Excel-based analysis of factors affecting university student grades across 10,064 records — covering digital behaviour, lifestyle, academic environment, and student wellbeing.
Data credibility and attendance analysis of CBSE Class 12 (2022) examination data. Focuses on denominator stability, integrity checks, anomaly detection, coverage-weighted insights, and reproducible Excel-based analytics workflows.
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