Ishita Swaroop
I’m an AI-driven Data Analyst based in Pune with 4 years of experience turning large, multi-source datasets into clear, decision-ready insights.
About
I’m an AI-driven Data Analyst based in Pune with 4 years of experience turning large, multi-source datasets into clear, decision-ready insights. I work across the full analytics lifecycle—cleaning and validating data, building scalable pipelines, and delivering KPI reporting that helps teams track adoption, retention, and revenue outcomes.
I regularly partner with Engineering, Product, and Business stakeholders to align on metrics and definitions, improve data quality, and speed up trustworthy reporting. From SQL and Python automation to Power BI/Tableau dashboards and Snowflake modeling, I enjoy solving data inconsistencies, investigating root causes, and translating complex findings into actionable recommendations for both technical and non-technical audiences.
- 4 years' experience
- Joined October 2026
Industry experience
- Computers & Electronics
- Professional Services
- Telecommunications
- Other
Work experience
Perform operational and data analysis on 500K+ customer records using SQL and advanced Excel, identifying inconsistencies and building validation checks that reduced inconsistencies by 70% and improved downstream reporting reliability. Design and maintain Power BI/Tableau-ready data models on Snowflake to improve query speed and enable faster, more accurate reporting. Automate recurring ETL and reporting workflows using Python to reduce manual data-prep effort by 90% and enable deeper analysis. Build scalable pipelines using Airflow and Spark to feed Snowflake from AWS S3, ensuring metrics are based on complete, up-to-date data. Coordinate Teradata-to-Snowflake migration activities including reconciliation and validation to protect historical accuracy. Create anomaly detection and data-quality frameworks to proactively surface irregularities and support root-cause analysis. Collaborate with stakeholders to align definitions and requirements, investigate incidents, and improve accuracy
Translated business requirements into technical specifications for reporting and automation workflows, bridging business and technical teams. Designed Tableau dashboards for key business KPIs, improving leadership decision-making efficiency by 40%. Performed SQL-based data analysis to uncover insights supporting product and business decisions.
Education
Certifications and awards
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