Rahul Boora

I’m a Data Analyst intern building reliable analytics pipelines with SQL and Python, turning raw datasets into dashboards and actionable stakeholder insights. I focus on data accuracy, clear reporting, and business-ready visualization.

In my internship, I cleaned and transformed structured client datasets using Python and SQL, then delivered visualizations and dashboards to track key business metrics. I also ran EDA and data mining to surface trends and patterns that supported data-driven consulting recommendations.

I’ve strengthened my skills through projects like HR attrition and financial revenue analysis, where I worked with large datasets, built interactive KPI dashboards in Power BI, and used SQL techniques (CTEs, aggregations) to extract decision-ready insights. I’m comfortable with end-to-end analysis—from data preparation and statistical analysis to modeling and reporting.

I’m especially interested in analytics that connect to real outcomes: I’ve applied RFM analysis and K-Means clustering to segment customers for targeted strategies, and I enjoy using machine learning for predictive analytics. Beyond execution, I value rigorous thinking, stakeholder communication, and continuous learning through challenging problems.