sujith pathiputturu — Operations Associate

I spent nearly a year managing 250–300 daily orders as a Dark Store Captain at Blinkit — and what struck me wasn't the pace, it was how much better decisions could be with the right data. That experience — tracking inventory levels, monitoring fulfillment rates, spotting operational inefficiencies in real time — is what pushed me to seriously pursue data analytics. I saw firsthand how dashboards, trend analysis, and KPI tracking can transform chaotic operations into predictable, scalable systems. Today, I build: • Power BI dashboards that track operational KPIs and surface trends at a glance • SQL-based data pipelines and queries for business performance analysis • Python EDA workflows that clean, explore, and visualize datasets to reveal hidden patterns My edge: I bring domain context that most entry-level analysts lack. I've worked inside a high-velocity quick commerce operation — I understand inventory dynamics, order accuracy, shift management, and operational reporting, not just from a spreadsheet, but from the floor. Tech stack: SQL · Python (Pandas, NumPy, Matplotlib, Seaborn) · Power BI · Excel · Data Visualization Currently seeking entry-level Data Analyst roles where I can contribute analytical thinking and real operational insight to data-driven teams. Let's connect if you're building a data team or have opportunities in analytics, business intelligence, or operations analytics.

Stackforce AI infers this person is a Data Analyst with expertise in E-commerce operations and analytics.

Location: Tirupati Urban, Andhra Pradesh, India

Experience: 9 mos