Headline

Data Analyst | SQL · Python · Power BI · Tableau | Business Intelligence | Product & Business Analytics | Turning Data into Decisions

About

I turn messy datasets into decisions not just charts. Over the past 2+ years across 3 analytics roles, I've built data pipelines, Power BI dashboards, and Python automation workflows that directly cut reporting time, improved data accuracy, and surfaced revenue insights for leadership teams. What I do: ▸ SQL & Python analysis on 50,000+ row datasets joins, CTEs, window functions, EDA ▸ Power BI dashboard development with DAX & Power Query from raw data to exec-ready KPIs ▸ Automated reporting pipelines that eliminated 40%+ manual effort across teams ▸ Stakeholder communication — translating business questions into data models and back into plain English ▸ Data quality frameworks — validation, deduplication, null-handling for 98%+ accuracy What makes me different: I don't just analyze — I own the full cycle from dirty data to decision. I've built systems that teams actually adopt, not reports that sit in a folder. Currently targeting: Data Analyst · Product Analyst · Business Analyst roles in Bengaluru, Pune, Hyderabad, Delji NCR, Gurugram , Noida , Mumbai or Remote Let's connect: Shiveshanand8742@gmail.com | GitHub: github.com/Shiveshanand09

Location

Bengaluru

Work experience

Associate Data Analyst at Qmax World LLP, Jul 2025 - Mar 2026 · 9 mos, Mumbai, Maharashtra, India, Analyzed 50,000+ row datasets in Python (Pandas, NumPy) and SQL (window functions, CTEs, multi-table joins) to surface seasonal revenue patterns, customer churn signals, and operational bottlenecks findings presented directly to senior leadership with prioritized action recommendations. Built and maintained 5+ real-time Power BI dashboards (DAX measures, Power Query transformations) covering KPIs across sales, ops, and finance reduced stakeholder reporting turnaround from 2 days to real-time, enabling faster executive decision cycles. Automated weekly and monthly reporting workflows using Python scripts and SQL stored procedures, eliminating ~40% of manual analyst hours and removing human error from recurring report generation. Delivered end-to-end EDA identifying 3+ recurring revenue anomalies and customer lifecycle trends — translated findings into stakeholder presentations with concrete next steps. Designed a data quality framework (validation rules, deduplication logic, null-handling) that raised ingestion accuracy to 98%+ across all datasets — directly reducing dashboard errors and stakeholder trust issues. Partnered with 3+ cross-functional teams to translate business requirements into data solutions, delivering reporting enhancements on sprint timelines.

Data Analyst Intern at eSparse Matrix solutions Private Limited, Aug 2024 - Jan 2025 · 6 mos, Pune District, Maharashtra, India, Built Power BI dashboards with DAX measures for KPI tracking across business units — provided management with a single source of truth for performance monitoring. Processed and analyzed business performance datasets in Python, SQL, and Excel — identified metric trends that informed quarterly planning decisions. Improved data pipeline accuracy through structured validation and cleaning workflows, reducing downstream reporting errors and increasing stakeholder confidence in data outputs.

Data Analyst Intern at Geeky Vision, Jul 2024 - Dec 2024 · 6 mos, Remote, Performed exploratory data analysis in Python and SQL to identify trends and performance metrics — findings used to guide client reporting decisions. Built interactive dashboards in Power BI and Tableau for data visualization and KPI reporting, improving how teams communicated performance to non-technical stakeholders. Maintained data accuracy and consistency across datasets through structured cleaning processes — established repeatable QA steps adopted by the team.

Education

Bachelor of Technology - BTech Computer Science, Computer Science, MIT World Peace University

HSC, PCM, Digdarshan Secondary School - India