Available to hire
Hi, I’m Pavithra Nannapaneni, a data-driven analyst with 4+ years of experience turning large-scale datasets into actionable insights. I’ve worked across Azure and AWS to build automated reporting pipelines and interactive dashboards that inform product strategy and operational efficiency.
I’m proficient in SQL, Python, Power BI, and Tableau, with strong data modeling, statistical analysis, and storytelling skills to translate complex data into clear recommendations. I thrive in cross-functional collaboration to define KPIs and drive data-informed decisions.
Skills
Language
English
Fluent
Work Experience
Data Analyst at Intuit
August 1, 2024 - November 4, 2025Engineered and automated real-time Power BI and Tableau dashboards tracking key metrics (product adoption, customer churn, revenue); cleaned and transformed multi-format datasets (~10 TB) from AWS S3, Snowflake, and Azure Data Lake; conducted in-depth exploratory data analysis to inform product strategy; optimized SQL queries and Snowflake models to reduce dashboard refresh times by 40%; developed Python scripts for automated data validation and data quality checks; designed real-time reporting pipelines using Snowflake Streams/Tasks and Synapse; led A/B testing analyses and defined KPIs with cross-functional teams; documented data dictionaries and dashboard logic.
Data Analyst at USAA
May 1, 2024 - May 1, 2024Architected and deployed Azure Data Factory pipelines to ingest, transform, and load data into Azure SQL DB and Synapse; developed dynamic Power BI dashboards with drill-down capabilities and KPI scorecards; authored complex T-SQL stored procedures, triggers, and functions; performed trend and variance analyses to support forecasting; applied data cleaning and transformation to improve analytics-ready datasets; monitored pipelines using Azure Monitor and Log Analytics to ensure high availability; defined KPIs with stakeholders and managed report deployment via Azure DevOps CI/CD.
Data Analyst at Accenture
July 1, 2021 - July 1, 2021Migrated over 100 reporting workflows from legacy Oracle/SSIS to a modern Azure Synapse + Power BI stack, improving refresh times and scalability; built and maintained Power BI dashboards and KPI scorecards for healthcare clients to monitor patient outcomes and resource utilization; performed Python-based statistical analyses for risk classification and predictive modeling; optimized Hive and SQL queries for large multi-terabyte healthcare datasets; implemented data masking to anonymize PHI/PII to HIPAA standards; automated recurring Excel reporting with Power Query and VBA; created partitioned Hive tables and conducted root cause analysis to reconcile data inconsistencies.
Education
Master of Science in Computer Science, Minor in Data Science at University of Kansas
August 1, 2022 - May 1, 2024Bachelor of Technology in Computer Science at Vignan University
July 1, 2018 - May 1, 2022Qualifications
Industry Experience
Software & Internet, Professional Services, Healthcare, Financial Services, Education
Skills
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