About
Data Analyst aspirant with practical experience handling datasets end-to-end, including data cleaning, transformation, exploratory analysis, and insight generation using Python and SQL. Passionate about applying statistical and analytical methods to support AI model performance and research-driven decision-making.
Skills & Expertise (30)
Work Experience
Data Analyst
Telecom Customer Churn Analysis & Retention Insights
Jan 2026 - Feb 2026
Cleaned and normalized 7,000+ customer records across 50+ columns into structured relational tables using Python and MySQL. Built 10+ SQL queries (JOIN, GROUP BY, aggregations) to calculate churn rate, revenue loss, and high-risk customer segments. Identified that month-to-month contract customers contributed to majority churn and highest revenue leakage. Estimated potential revenue retention opportunity by targeting high-risk segments with long-term contract incentives. Designed interactive Power BI dashboard with KPIs including churn rate, total revenue at risk, and customer segmentation. Reduced manual churn reporting effort by creating automated KPI tracking dashboard.
Data Analyst
Olist. E-Commerce Delivery Performance & Customer Reviews Analysis
Dec 2025 - Jan 2026
Merged and cleaned 100k+ order records from multiple datasets (orders, customers, reviews, payments). Engineered delivery delay, order status, and revenue features to evaluate logistics performance. Discovered correlation between delayed deliveries and low customer review scores. Identified high-delay states contributing to negative customer satisfaction trends. Built business KPI dashboard tracking revenue, delayed order %, avg delivery time, and review distribution. Provided actionable recommendations to improve logistics efficiency and customer retention.
Data Analyst
Urban Water Consumption Optimization
Dec 2025 - Dec 2025
Analyzed smart meter data to identify abnormal water usage patterns across households. Created leak risk flag and per-capita consumption metrics using Excel and SQL. Ranked high-risk households using SQL window functions (RANK). Estimated potential water loss reduction through early leak detection strategy. Developed district-level Power BI dashboard visualizing consumption trends and efficiency index. Demonstrated how data-driven monitoring can improve sustainability and reduce resource waste.
Education
Bachelor of Technology (B.Tech) in Computer Science & Engineering - JNTUA University
2011 - 2015 · Afghanistan
Certifications
IBM Introduction to Data Analysis
· 2025
Coursera Excel for Data Analysis
· 2025
Microsoft Power BI for Data Analysis
· 2025
