About
Data Analyst with experience in SQL, Python, Excel and BI tools, driving retention, funnel, cohort and growth analytics. Proven impact in improving customer retention and conversion through data-driven insights.
Skills & Expertise (27)
Work Experience
Data Analyst
Supertails
Nov 2025 - Present
Developed and automated comprehensive pharmacy retention, cohort, and funnel dashboards using SQL (joins, CTEs, window functions, subqueries), Python, BigQuery, Excel (Pivot Tables, XLOOKUP, VLOOKUP), and Looker Studio. Analyzed repeat purchase patterns, churn trends, and customer journeys segmented by city, OTC/Non-OTC categories, customer types, and veterinarian segments. Executed data cleaning, transformation, and exploratory data analysis (EDA) to identify key retention drivers and funnel leakages. Delivered actionable insights that reduced customer drop-offs by 11%, increased retention rates by 9%, and contributed to a 12% revenue growth through targeted regional and operational strategies.
Data Science Intern
Learnvista Pvt ltd
May 2025 - Oct 2025
Designed and implemented a robust MS SQL Server relational database integrating customer journeys, engagement metrics, reviews, and product data to streamline data management. Performed comprehensive data cleaning, transformation, and advanced data modeling using SQL techniques (joins, CTEs, subqueries, window functions) ensuring accurate, consistent datasets across multiple sources. Developed interactive business intelligence dashboards with Power BI (DAX) and Excel (Pivot Tables, Power Query) to analyze job market trends, customer demographics, and campaign performance from 10,000+ job postings. Enhanced click-through rate (CTR) by 11% and conversion rates by 8% through actionable data-driven insights derived from BI dashboards. Built a predictive analytics model using Python (Pandas, Scikit-learn) to identify key customer churn drivers, supporting retention strategies. Conducted exploratory data analysis, data preprocessing, imbalance treatment, encoding, feature scaling, and hyperparameter tuning to optimize a Random Forest model achieving 98% accuracy and 0.93 recall.
Education
B.Tech/B.E. - Bachelor of Technology / Engineering - Ramaiah Institute of Technology
- 2023 · Afghanistan
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