Praneeth Varma
Data Analyst & Scientist
Transforming complex datasets into actionable product insights. 10+ years driving strategy at Intuit, Microsoft, Amazon, and Google.
About Me
I am a results-driven Data Analyst & Scientist with a decade of experience building data-driven solutions in large-scale tech environments. My expertise lies in transforming ambiguous data into clear, actionable product insights and KPIs that drive strategy.
I specialize in A/B testing, SQL, and statistical analysis, focusing on leveraging analytical prowess to improve user experiences at scale. Currently, I am a Reporting Data Analyst IV at Intuit, optimizing fraud policy frameworks.
Experience
Intuit
Reporting Data Analyst IV Oct 2024 – Present- Built 5+ critical dashboards end-to-end for tracking Fraud Policy KPIs.
- Spearheaded the migration of 10+ dashboards to QuickSight, enhancing data quality.
- Led cross-functional collaboration for the Fast Funding project reporting framework.
Microsoft
Marketing Data Analyst Dec 2023 – Sep 2024- Partnered with Product Managers to drive 25+ global marketing campaigns for Azure and Office.
- Drove customer engagement by 20% and new customer acquisition by 25% through metric monitoring.
- Collaborated with Growth Managers and Data Engineers to optimize in-product campaigns.
Amazon
Business Intelligence Engineer Aug 2022 – May 2023- Led search optimization initiatives for US and India markets, monitoring CTR and relevance.
- Collaborated with ML scientists to refine search ranking algorithms, achieving a 20% lift in engagement.
- Engineered robust ETL pipelines using AWS Glue and S3 for multi-market data aggregation.
Microsoft
Product Analyst Apr 2020 – Jan 2022- Enhanced potential customer revenue identification by 12% via automated reports.
- Revamped ETL procedures, achieving a 95% reduction in data inconsistencies.
- Streamlined analytical workflows using Azure Data Studio.
- Built data models resulting in a 50% improvement in detecting fraudulent profiles.
- Implemented ML algorithms achieving a 60% recall rate in identifying abusive orders.
- Enabled real-time abuse monitoring using Tableau dashboards.
Selected Works
Fraud Detection System
Google • Data Analyst
Implemented machine learning algorithms to enhance fraud detection systems on Google Shopping.
Search Optimization
Amazon • BI Engineer
Refined search ranking algorithms and validated improvements through rigorous A/B testing.
Global Marketing Analytics
Microsoft • Marketing Data Analyst
Partnered with PMs to drive 25+ global campaigns, establishing KPI frameworks for Azure and Office.