Himabindu Jogi

I’m a Data Analyst with 2.11 years of experience preparing management reports, analyzing trends and patterns, and delivering actionable insights. I’m especially focused on building reliable analytics workflows using SQL and data visualization, with hands-on experience in dashboarding, ad-hoc analysis, and supporting data integrity initiatives.

At Capgemini, I developed interactive Power BI dashboards to track business KPIs including sales, revenue, operational productivity, and performance metrics—improving data-driven decision making by 20%. I write SQL queries using joins, aggregations, and data filtering to extract and analyze large datasets, and I design optimized data models using DAX, relationships, calculated columns, and measures for scalable reporting. I also implemented Row-Level Security (RLS) in Power BI, and I automated recurring reporting workflows using Python and Power BI to reduce manual effort while improving data accuracy, collaborating closely with Marketing, Finance, and Operations to define metrics and deliver insights.

Beyond reporting, I’ve supported applications as an Application Support role, monitoring and analyzing logs and performance metrics using Unix/Linux and PuTTY to identify root causes of system errors. I diagnosed and resolved front-end and backend issues to maintain 99.9% system uptime, improved documentation accuracy by fixing missing sales document issues, and reduced issue resolution time by 30% through root cause analysis and implemented fixes. My projects reflect this same end-to-end mindset: I build interactive Power BI dashboards, run EDA and feature engineering in Python (Pandas), query PostgreSQL with advanced SQL (joins, aggregations, window functions), and document reproducible workflows in Jupyter Notebook published to GitHub.