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Tarun Sai Chowdary Sunkara

Data Analyst • Fairfax, VA • T*************@gmail.com • +15******136 • drivetube.ai/•••••

Professional Summary

Data Analyst with 4+ years of experience building ETL pipelines, data platforms, and analytics solutions for healthcare, eCommerce and cannabis sectors. Skilled in Python, SQL, Snowflake, Power BI and cloud data services (AWS, Azure). Deliver data integration, predictive models, and interactive dashboards to reduce processing time, improve decision-making, and maintain regulatory compliance (HIPAA, GDPR).

Technical Skills

Programming Languages: Python,R
Frameworks and Libraries: Scikit-learn,Matplotlib,Seaborn
Databases: SQL,Snowflake,MySQL,PostgreSQL,Oracle,MongoDB,Amazon RDS
Cloud and DevOps: AWS,AWS Redshift,AWS Glue,AWS Athena,Azure Data Factory,Azure Synapse,GCP BigQuery,Databricks
Data and Analytics: Descriptive Statistics,Inferential Statistics,Regression Analysis,Hypothesis Testing,Statistical Modeling,Linear Regression,Logistic Regression,Clustering,Decision Trees,Random Forests,Time Series Analysis,Power BI,Tableau,Excel Pivot Tables, Macros,ggplot2,SQL-based ETL,DBT,Alteryx,Informatica,Apache Airflow,Data Cleaning,Data Transformation,Data Integration,Data Warehousing
Tools and Methodologies: Git,GitHub,GitLab,Agile,Waterfall,SDLC
Skills: SAS
Soft Skills: Problem Solving,Communication,Collaboration,Time Management

Work Experience

Anthem
Indianapolis, IN
Data Analyst
Oct 2023 – Present
Worked on healthcare insurance data analytics and claims workflows, integrating provider and claims datasets to support clinical quality and operational reporting.
Tech Stack: Python, SQL, Snowflake, Power BI, AWS
  • Developed a healthcare data analytics platform integrating data from 12+ health insurance providers using Snowflake, Python, and SQL, enabling care analytics that reduced missed care opportunities and improved patient outcomes by up to 25%.
  • Revamped claims processing workflows using automated SQL/Python ETL and process automation, reducing average claim handling time from 4 hours to under 1 hour (75% reduction) and increasing operational throughput.
  • Optimized ETL pipelines and data ingestion (SQL, Python, Snowflake), increasing data integration speed by 20% and streamlining aggregation of over 2 TB of monthly healthcare data for faster analytics.
  • Designed and deployed interactive Power BI dashboards that surfaced 70+ healthcare KPIs, cutting manual reporting effort by 40% and enabling real-time visibility for care managers and leadership.
  • Implemented data security and encryption protocols for PHI, ensuring HIPAA compliance across the platform for data covering over 1 million patients and maintaining zero data breaches.
  • Improved platform scalability and performance to support 30% year-over-year data growth while maintaining 99.8% uptime; coordinated with IT and clinical operations to deliver projects 10% faster.
Sigma Infosolutions Ltd.
Bengaluru, IN
Data Analyst
Jun 2019 – Jul 2022
Delivered data engineering and analytics solutions for eCommerce and cannabis-sector clients, centralizing data sources and providing forecasting and reporting capabilities.
Tech Stack: Snowflake, SQL, Python, Scikit-learn, Power BI, AWS, PostgreSQL, Git
  • Designed and implemented ETL workflows to centralize diverse client data sources using Snowflake and SQL, automating integrations and reducing manual interventions by 30%.
  • Optimized SQL queries and database performance for large datasets (>1.5 TB/month), reducing query execution time by 20% and improving analyst productivity for reporting and BI workloads.
  • Developed predictive analytics models in Python with Scikit-learn to forecast customer behavior and market trends, improving forecasting accuracy by 25% and informing targeted marketing strategies.
  • Built Power BI dashboards and Excel reporting solutions that provided real-time analytics to 10+ cross-functional teams, reducing decision-making time by 20% and increasing report usability by 40%.
  • Migrated data pipelines to AWS and integrated Snowflake as the analytics warehouse, supporting a 50% annual increase in data volume while maintaining 99.9% system uptime.
  • Implemented data validation and quality processes that improved data accuracy by 35%, ensured GDPR compliance for client datasets, and applied Agile practices to reduce project delivery timelines by 25%.

Education

George Mason University
Master of Science in Data Analytics Engineering • Fairfax, VA • Aug 2022 – May 2024
Presidency University
Bachelor of Technology in Electronics and Communication Engineering • Bengaluru, IN • Aug 2015 – May 2019

Certifications

Data Science with R & Python — ExcelR
Python programming — Brilliant
C++ Programming — Brilliant

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