About
Data Analyst with hands-on experience in SQL-based data extraction, validation, transformation, and analysis, along with foundational ETL and data integration work in SAP Datasphere. Known for structured root cause analysis, troubleshooting, and collaborative communication across cross-functional and global teams.
Experience
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Analyst | DatasphereTata Consultancy Services (TCS)Aug 2022 – Jun 2026
Supported ETL and data integration workflows using SAP Datasphere. Investigated data and process issues using structured root cause analysis, diagnosed Replication Flow and Change Data Capture (CDC) delta-load errors, debugged SQL and reporting issues, managed incident and service-request tickets in JIRA, and communicated with offshore stakeholders across a global Japan-based team.
Education
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2022
MBARTMNU, Nagpur UniversityHuman Resource Management and Operations Management · 2020 – 2022
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2020
B.E.SGBAU, Amravati UniversityComputer Science · 2016 – 2020
Skills
Tools / apps / platforms
Languages
Projects
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Ola Ride Booking AnalyticsMicrosoft SQL Server, Power BI
Designed, developed, and tested relational tables for a 50,000-row ride-booking dataset, and wrote T-SQL queries using joins, CASE expressions, window functions, and aggregations to analyze booking status, cancellations, and revenue by vehicle type.
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Banking & FinTech AnalyticsPython, SQL, Power BI, Streamlit
Designed and queried a relational data model across approximately 600,000 records in seven related tables using T-SQL, validating and cleaning data before analysis. Identified that 9.16% of transactions accounted for 44.96% of total transaction volume through SQL-based analysis and a Power BI dashboard.
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Customer Shopping Behavior AnalysisSQL, Python, Power BI
Used SQL to explore customer segments, purchase behavior, and spending patterns from cleaned transaction data.
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Banking & FinTech AnalyticsPython, SQL, Power BI, Streamlit
Designed and queried a relational data model across approximately 600,000 records in seven related tables using T-SQL, validating and cleaning data before analysis. Identified that 9.16% of transactions accounted for 44.96% of total transaction volume through SQL-based analysis and a Power BI dashboard.
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Customer Shopping Behavior AnalysisSQL, Python, Power BI
Used SQL to explore customer segments, purchase behavior, and spending patterns from cleaned transaction data.
Courses & certifications
- Data Analytics Certificate · Udemy
- Data Analytics Certificate · Udemy
🏆 Achievements & awards
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Special Initiative Award
Awarded by Tata Consultancy Services.
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Service & Commitment Award
Awarded by Tata Consultancy Services.