📊 Data-driven analysis of London housing affordability (2015–2025) using SQL for data wrangling and Tableau for interactive dashboards. Highlights rising house prices vs salaries, affordability ratios, and borough-level insights.
During my remote internship, I worked extensively with SQL, Power BI, and Excel to analyze and visualize data.
This project involves creating an interactive HR Dashboard using Power BI for visualization and MySQL for data cleaning and analysis. It provides insights into employee performance, attrition, salary distribution, and hiring trends.
An end-to-end financial data cleaning and dashboarding MVP - upload CSV/XLSX/JSON to infer schema, normalize fields, deduplicate, validate data quality, preview dashboards, and export analytics-ready outputs.
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