Data Analyst | Business & Product Analyst | Turning Raw Data into Revenue-Driving Decisions | SQL · Python · Tableau · Power BI

Hyderabad

B.com, Computer application
Osmania University, Hyderabad
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I didn't start by learning SQL — I started by asking questions. Why do some customers stay and others leave? Which part of a funnel is quietly bleeding revenue? What does the data actually say versus what everyone assumes? Those questions led me to analytics. Today, I work at the intersection of data, product thinking, and business strategy — translating messy spreadsheets and raw databases into clear, decision-ready insights. My toolkit includes SQL for querying and slicing data, Python for cleaning and analysis, Excel for rapid exploration, and Tableau/Power BI for dashboards that non-technical stakeholders can actually act on. I've built KPI frameworks, run cohort and funnel analyses, performed customer segmentation, and designed dashboards that communicate the "so what" — not just the "what." I approach every problem with a hypothesis first, data second mindset. That means I don't just report numbers — I challenge assumptions, spot anomalies, and prioritize the insights that move the needle. Currently a Data Analyst at Full Stack Academy, where I've built end-to-end pipelines from raw, messy data to executive-ready insights. I'm actively seeking entry-level Data Analyst, Product Analyst, or Business Analyst roles in product-led, e-commerce, or consulting environments where analytics directly drives growth. 📍 Hyderabad | Open to remote opportunities
Hyderabad
Data Analyst at Full Stack Academy, Dec 2025 - Present · 8 mos, Hyderabad, ▸ Engineered end-to-end data pipelines processing raw, inconsistent datasets — reducing manual cleaning time by standardizing reusable transformation scripts. ▸ Delivered executive-level dashboards in Power BI/Tableau, distilling complex data into 5–7 actionable KPIs that supported leadership decision-making. ▸ Authored and optimized SQL queries to extract, join, and aggregate data across multiple tables, enabling faster ad-hoc analysis for business stakeholders.
B.com, Computer application, Osmania University, Hyderabad