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Data Analyst with 2+ years in Power BI & ETL pipelines
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Assessing your cultural and operational fit
Results-driven Data Analyst transforming complex datasets into actionable business, sales, and HR insights. Expert in Power BI, Tableau, SQL (PostgreSQL/MySQL), Python (Pandas, NumPy, Scikit-learn), Advanced Excel, and Workday HCM. Delivered measurable impact including 15% supply chain optimization, 20% reduction in manual reporting, revenue trend analysis, membership growth tracking, and multi-zone sales performance dashboards.
Federal Urdu University (FUUAST)
B.S. Computer Science · Computer Science
N/A – June 30, 2021
Peersol
Workday Analyst
August 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Utility Stores Corporation of Pakistan
Data Analyst
January 1, 2024 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Multi-Zone Retail Sales Analytics Dashboard
June 17, 2026 – Present
• Built advanced Power BI reporting solution for nationwide retail sales across multiple zones and product categories • Employed SQL (PostgreSQL/MySQL) for data gathering from sales, zone, and product tables • Conducted data wrangling, cleaning, and metric calculations using Python (Pandas, NumPy) • Created interactive visuals: sum of sale value by category (Atta, Branded Goods, Ghee, Sugar, etc.), zone-wise distribution, top-performing products, quantity sold, and tax impact • Analyzed time-based trends (year, quarter, month, day) and zone contributions (Islamabad as highest performer) • Enabled data-driven decisions on inventory allocation, category focus, and sales strategy optimization
HR Analytics Dashboard – Utility Stores Corporation
June 17, 2026 – Present
• Developed SQL-integrated Tableau dashboards to track workforce metrics including attrition, turnover, and education levels • Used SQL (PostgreSQL) for data gathering from HR systems and Python (Pandas) for data wrangling and preprocessing • Identified key workforce gaps to support strategic recruitment planning • Contributed to improved employee retention through actionable insights for leadership
YouTube Analytics Data Pipeline on AWS
June 17, 2026 – Present
• Designed and implemented a scalable end-to-end YouTube Analytics Data Pipeline on AWS using Medallion Architecture (Bronze, Silver, Gold layers) • Automated data ingestion from YouTube API using AWS Lambda and stored raw data in Amazon S3 • Developed AWS Glue ETL jobs to transform Bronze layer data into curated Silver and Gold datasets • Implemented parallel processing workflows using AWS Step Functions for orchestration and pipeline monitoring • Built automated data quality validation checks and failure notification system using Amazon SNS • Utilized AWS services including Lambda, Glue, S3, Step Functions, IAM, and SNS for cloud-native data engineering workflows • Improved pipeline reliability and scalability through automated orchestration, retry handling, and event-driven processing
Microsoft Power BI Certification
Punjab Skills Development Institute
January 1, 2025 – Present
Data Analysis with Python
IBM Cognitive Class
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience across different domains (retail sales, HR, YouTube analytics) and the use of a broad range of technologies (AWS, SQL, Python, Power BI, Tableau, Workday) demonstrate adaptability and a willingness to learn new tools and tackle varied challenges. The focus on improving efficiency and providing actionable insights aligns well with a data-driven culture. The project diversity and the continuous pursuit of certifications suggest a proactive and growth-oriented mindset, which is a positive indicator for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a results-driven approach, focusing on delivering measurable impact and automating processes. This indicates a strong operational fit for roles requiring efficiency and tangible outcomes. The ability to work with diverse datasets (sales, procurement, HR) and translate them into actionable insights suggests strong analytical and problem-solving skills. The candidate's experience in automating data quality checks and reporting workflows also points to a detail-oriented and proactive work attitude.