About
Data Analyst with hands-on experience in SQL, Excel, Power BI, and Python. Completed multiple business-focused analytics projects in sales, telecom, finance, and sports domains, building dashboards and deriving KPI-driven insights. Strong in data cleaning, reporting, and structured problem-solving.
Skills & Expertise (12)
Work Experience
Data Analyst
Privan Sport Analyzer
Sep 2025 - Feb 2026
Analyzed 500+ sports performance records to identify key performance indicators (KPIs) impacting player efficiency and team win rates. Cleaned and transformed raw datasets using Excel (Pivot Tables, VLOOKUP, data validation) and SQL (JOIN, GROUP BY, aggregate functions), reducing data inconsistencies by 20% and improving reporting accuracy. Conducted exploratory data analysis to evaluate relationships between scoring rate, defensive metrics, and match outcomes, supporting evidence-based performance assessment. Built Power BI dashboards with drill-down reports and performance scorecards, enabling coaches to compare player statistics across seasons and improve decision-making efficiency.
Data Analyst
May 2025 - Jun 2025
Cleaned and transformed raw pizza sales data using SQL (JOINs, GROUP BY, subqueries, aggregate functions) to ensure data consistency and accurate business reporting. Developed an interactive Power BI dashboard to monitor total revenue, best-selling products, and order patterns by hour and day, enabling trend-based sales analysis. Developed DAX measures to calculate Average Order Value (AOV), category-wise revenue contribution, and month-over-month sales growth for structured sales performance analysis. Analyzed purchasing behavior to identify peak sales periods and high-performing menu items, providing data-backed recommendations to optimize pricing and menu strategy.
Data Analyst
May 2025 - Jun 2025
Analyzed a music store database to assess customer purchasing patterns, sales performance, and employee contribution. Executed advanced SQL queries (JOIN, GROUP BY, HAVING, CASE, subqueries) to extract, aggregate, and analyze business data. Derived key metrics including customer lifetime purchases, revenue by genre, top-selling artists, and sales per employee. Identified high-value customers and top-performing categories to support targeted marketing and revenue optimization strategies.
Education
B.E. in Artificial Intelligence and Data Science - Savitribai Phule Pune University
- · Afghanistan
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Skills (12)
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