About
Data Analyst with hands-on experience in cohort analysis, RFM segmentation, funnel analysis, and churn/retention analytics using SQL and Power BI. Builds dashboards and reporting workflows that translate customer lifecycle data into actionable retention strategies and churn reduction insights.
Experience
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Support AssociateBioxivaJul 2024 – Jun 2025
Education
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B.TechDr. A.P.J. Abdul Kalam Technical UniversityComputer Science · Oct 2020 – Apr 2024
Skills
Projects
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Customer Churn Prediction - Retention Modeling ProjectPython, Pandas, Scikit-learn, Matplotlib, Seaborn
Built a supervised machine learning model to predict customer churn on 10,000+ records, performed EDA, handled missing values, encoded categorical variables, applied feature scaling, and benchmarked multiple models to select the best performer.
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Olist E-Commerce - Cohort, Retention & Churn AnalyticsPower BI, DAX, Power Query, PostgreSQL, Python, Pandas, Matplotlib, Seaborn
Analyzed 100,000+ real orders from Brazil's largest marketplace, built an analytics layer in PostgreSQL, ran cohort and repeat-purchase analysis, created RFM segmentation, performed funnel and drop-off analysis, and built a 4-page Power BI dashboard for stakeholder reporting.
⚽ Extracurricular activities
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Coordinated Placement Drives, worked as a lead event handle person
🎯 Hobbies & interests
- Workout
- music
- Adventures
- sports
- books
- Hikes
- treks and exploring parts of india