Standing Rank
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Developer Badges
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Skills & Technologies
30 skillsGitHub Activity Evidence
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Work Experience
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Projects
Sales & Customer Analytics Dashboard
- Analyzed 50,000+ retail transactions using SQL to identify revenue trends, top-performing products, customer segments, and regional performance patterns.
- Built interactive Power BI dashboards tracking Revenue, Profit Margin, Customer Retention Rate, and Regional KPIs with dynamic slicers and drill-through pages.
- Engineered advanced DAX measures for YoY growth, profit margin analysis, and 6-month sales forecasting; identified underperforming regions improving strategy focus by 15%.
- Reduced manual reporting effort by 60% through dashboard automation and scheduled data refresh via Power Query and SQL stored procedures.
HR Analytics & Employee Attrition Prediction
- Processed employee workforce data using Python (Pandas, NumPy), performing EDA to identify key attrition drivers: job satisfaction, salary, tenure, and work-life balance.
- Built classification models (Logistic Regression, Random Forest, XGBoost) achieving 85%+ accuracy in employee attrition prediction with cross-validation.
- Performed feature engineering and data visualization using Matplotlib and Seaborn to surface statistically significant attrition predictors.
- Developed Power BI HR dashboards visualizing attrition risk scores, workforce demographics, and retention trends for strategic HR decision- making.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
Computer Science Engineering student at VIT Vellore with internship experience in Data Analytics, Business Intelligence, SQL, Python, Power BI, and Machine Learning. Skilled in transforming data into actionable business insights through reporting, visualization, and statistical analysis.
Bachelor of Technology (B.Tech) in Computer Science Engineering
Vellore Institute of Technology (VIT) ( - 2026)