About
Data Analyst with hands-on experience building end-to-end analytics solutions across Excel, SQL, and Power BI. Proven track record of transforming large-scale raw datasets (1.4M+ records) into measurable business insights through interactive dashboards, KPI frameworks, and advanced DAX modeling. Skilled in data cleaning, ETL pipelines, and cross-functional reporting that reduces manual effort and accelerates decision-making.
Skills & Expertise (32)
Work Experience
Data Analyst
Blinkit
Present - Present
Built a self-service Excel dashboard using Pivot Tables and Slicers to track 4 core KPIs — Total Sales, Average Sales, Items Sold, and Customer Ratings — consolidating all metrics into 1 unified view. Cleaned and prepared 8,500+ transactional records through category standardization, null-value handling, and structural normalization — achieving 100% data consistency across all downstream visualizations. Designed 5+ interactive visualizations (donut, bar, line/area, and funnel charts) segmented across 5 dimensions — item type, fat content, outlet size, outlet type, and city tier — enabling targeted sales analysis. Replaced fragmented manual reporting with a single consolidated dashboard, reducing stakeholder analysis time from hours to under 10 minutes per reporting cycle.
Data Analyst
AtliQ Hardware
Present - Present
Replaced a legacy Excel-based reporting system for AtliQ Hardware by building a scalable Power BI solution integrating 2 data sources (Excel/CSV and SQL databases), modernizing analytics for 1,000+ SKUs. Developed 5 specialized dashboards — Finance, Sales, Marketing, Supply Chain, and Executive Overview — giving leadership a 360-degree operational view across all business functions in 1 platform. Applied advanced DAX functions including CALCULATE, FILTER, RELATED, and time-intelligence measures to build 20+ calculated columns and KPIs tracking sales performance across 1.4M+ records. Centralized multi-departmental data into a unified Power BI model, cutting cross-team reporting consolidation time by an estimated 60% and improving visibility for strategic planning.
Data Analyst
Spotify
Present - Present
Built a 2-dashboard Power BI solution (Overview + Listening Patterns) analyzing 150,000+ Spotify listening records across 10 years (2015–2024), surfacing long-term engagement trends and audience behavior shifts. Engineered dynamic Date/Calendar tables with 6+ time-intelligence measures including Year-over-Year (YoY) comparisons, latest vs. prior-year analysis, and weekday vs. weekend segmentation using advanced DAX. Implemented Top-N filters, cross-slicer edit interactions, and drill-through across 4 dimensions — albums, artists, tracks, and platforms — enabling granular self-service analysis without analyst intervention. Identified peak listening windows and top-performing artists across 10 years of data, producing platform-level insights to support content strategy and audience engagement recommendations.
Education
B.Tech — Information Technology - Chandigarh Engineering College
2022 - 2026 · Afghanistan
Senior Secondary (12th) - SVM Public School
2020 - 2021 · Afghanistan
Certifications
No certifications added yet
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Open to Relocation
Skills (32)
Click a skill to find developers with the same skill
