Poorab Agrawal

Data Analyst skilled in SQL, Python, Power BI, Tableau, and Excel, delivering actionable business insights through interactive dashboards, KPI reporting, and automated pipelines. Strong communicator with a proven ability to analyse large datasets, translate complex findings into clear reports, and collaborate with stakeholders to drive data-driven decisions.

Data Analyst Intern - BrokBuddy - Noida (Remote)

(2026-01 - 2026-04)

• Analysed 50,000+ Dubai rental listings using Python and SQL to uncover community-level demand, pricing benchmarks, and property mix trends for broker decision-making in a PropTech environment
• Engineered a price_per_sqft metric in Pandas and queried it via SQLite to benchmark fair rental value across 15+ UAE communities, revealing that Downtown Dubai and Dubai Marina command 40–60% premium over emerging zones like JVC and Al Nahda.
• Found that 2BHK apartments dominate 45%+ of supply while Studios and 1BHKs offer the highest per-sqft yield, informing broker inventory and listing strategy
• Built a 3-view Tableau dashboard covering community-level demand analysis, bedroom-wise pricing benchmarks, and furnishing premium comparison.

B.Tech - Computer Science & Engineering - Sharda University (2022-09 - 2026-06)