About
Analytical and detail-oriented Computer Science Graduate with practical expertise transforming raw data into business insights and data-driven decisions. Proficient in MS Excel (Advanced Formulas, Pivot Tables, Interactive Dashboards), SQL, and Power BI/Tableau for executing end-to-end data processing, reporting, and predictive trend analysis. Skilled at collaborating with cross-functional teams, gathering requirements, ensuring data accuracy, and delivering clear visual reports to optimize operational performance.
Skills & Expertise (34)
Work Experience
Data Analyst
Pizza Sales Performance Analytics
Apr 2026 - Apr 2026
Processed and audited over 20,000 transaction entries using SQL aggregations (JOINs, GROUP BY) to track revenue performance, order distribution volume, and Average Order Value (AOV). Engineered an interactive MS Excel dashboard equipped with Pivot Tables, Slicers, and Dynamic Charts to present operational metrics cleanly to stakeholder groups. Highlighted peak trading periods and product velocity metrics, providing actionable insights that empowered management to eliminate underperforming line-items.
Data Analyst
HR Analytics Dashboard
Jan 2026 - Jan 2026
Collected, cleaned, and organized 160+ employee records from multiple sources, utilizing Power Query to resolve anomalies and guarantee 100% data accuracy and consistency. Developed an interactive corporate dashboard tracking core performance metrics, headcount distribution, and salary/leave trends using advanced DAX measures. Analyzed data to identify trends and structural patterns, converting complex datasets into structured summaries that assist senior leadership in tactical resource allocation.
Data Analyst
Sales Analytics & Trend Analysis
Jan 2026 - Jan 2026
Extracted and structured transactional business data from disparate channels; wrote comprehensive SQL queries containing advanced analytical functions to maintain report integrity. Applied time-series analysis and window functions (SUM OVER, LAG) to track cumulative monthly revenue growth, map seasonal purchasing patterns, and support predictive forecasting models. Implemented automated SQL Views (report_customers, report_products) for scalable analysis and maintained thorough reporting documentation for cross-functional workflows.
Education
B.Tech in Computer Science Engineering - Guru Nanak Institutions Technical Campus
2022 - 2026 · Afghanistan
Intermediate (MPC) - Krishnaveni Junior College
2020 - 2022 · Afghanistan
Certifications
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Skills (34)
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