Academic Performance Tracking Dashboard for Multidisciplinary Analysis

This project involved designing a Power BI dashboard to monitor and analyze student academic performance across 10+ subjects for grades 9 to 12. The dashboard provided educators and administrators with insights into individual and group performance trends, enabling data-driven interventions to improve outcomes.

Key Features

Subject-Wise Performance Analysis

Interactive charts showing average, highest, and lowest scores for each subject.

Student Progress Tracking

Individual student performance trends across terms, highlighting improvement areas.

Custom Filters

Drill-down capabilities by grade, subject, term, and teacher to customize data views.

Insights for Decision-Making

KPIs (Key Performance Indicators) to identify at-risk students and subjects requiring additional focus.

Impact/Results

Enabled educators to target specific learning gaps, resulting in a 20% improvement in underperforming subjects.

Improved transparency and collaboration among teachers, students, and parents.

Feedback indicated enhanced ability for school leaders to make informed decisions based on real-time data.

Screenshots/Demo

(Screenshot of the dashboard showcasing subject-wise performance, term comparison, and progress trends.)

Attendance and Academic Performance Correlation Dashboard

This Power BI dashboard was created to analyze the relationship between student attendance and academic performance across multiple subjects and terms. It aimed to identify patterns that could inform policies and strategies for improving attendance and academic outcomes.

Key Features

Correlation Analysis

Visualizations demonstrating the impact of attendance on academic performance at both individual and group levels.

Attendance Heatmaps

Monthly and weekly attendance patterns, highlighting trends and anomalies.

Performance Impact Zones

Indicators identifying students or groups where low attendance correlates with lower grades.

Predictive Insights

Data-driven predictions to forecast potential academic risks based on attendance trends.

Impact/Results

Helped school leaders implement targeted strategies for students with attendance challenges, improving attendance rates by 15%.

Facilitated a 10% improvement in grades among students with previously low attendance records.

Strengthened collaboration between educators and parents through actionable insights.

Screenshots/Demo

(Screenshot of correlation graphs, heatmaps, and student risk indicators.)