Maaroof Hussain

I’m Maaroof Hussain, a Data Analyst who blends 15 years of real business ownership with Python, SQL, and Tableau to turn messy, conflicting data into trustworthy decisions. I built and operated a grocery store in Pakistan, then consistently questioned data against domain knowledge—because code is only as good as reality.

Through 5 completed portfolio projects, I’ve used forecasting and analytics to quantify real outcomes—like Ramadan impact (+160.9% revenue), Eid ul Adha peak (108,908 PKR/day), and annual waste losses (2.4M PKR). I document methodology clearly so insights are reproducible, not just “interesting.”

In professional experience, I maintain digital inventory records for 500+ SKUs, generate daily sales summaries and variance reports for procurement decisions, and correct discrepancies between physical stock and digital logs while keeping record alignment at 100%. I also reduced item retrieval time by 20% using systematic bin classification.

I’m especially motivated by work where operational context matters: seasonal demand tracking, ETL and cleaning, and building dashboards that people actually use. Alongside hands-on analysis, I’ve pursued training such as Python & SQL for Data Analysis and applied it across live, end-to-end projects.