About
Computer Science and Engineering student with hands-on experience in SQL, Python, Power BI, and Google Cloud BigQuery through analytics projects in retention, engagement, and experimentation. Strong in data transformation, dashboarding, and statistical analysis for business decision-making.
Education
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Bachelor of Technology (B.Tech)Computer Science and Engineering · Jul 2027
Skills
Projects
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SQL (SQLite), Python, Pandas, Matplotlib, Power BI
Analyzed student engagement and dropout risk using 7 source tables and a 32,593-record analytical dataset. Built a Power BI dashboard and an early-disengagement indicator to identify at-risk students.
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SQL, Power BI, DAX, ETL/Data Transformation
Analyzed repeat purchase behavior across 93K customers and built a reproducible SQL ETL pipeline and Power BI dashboard for churn-risk analysis.
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Google Cloud BigQuery, SQL, Power BI
Processed 5.41M trip records to analyze casual vs. member behavior and proposed a weekend-focused membership plan based on rider patterns.
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Python, Pandas, Matplotlib/Seaborn
Evaluated an A/B test on gate relocation using statistical tests and confidence intervals, finding a significant Day-7 retention drop.
Courses & certifications
- Google Data Analytics Professional Certificate ↗ · Coursera
- Google AI Essentials ↗ · Coursera
- McKinsey Forward Program ↗ · McKinsey & Company
- CS50: Introduction to Computer Science ↗ · Harvard University