Data Analyst - SQL, Python, Tableau, Power BI Expert

Abhinav Reddy Balannagari

****************@*****.*** 913-***-**** LinkedIn

Professional Summary

Detail-oriented Data Analyst with 3+ years of experience in building and analyzing large datasets, creating interactive dashboards, and delivering actionable insights across healthcare and banking domains. Proficient in SQL, Python, R, Tableau, Power BI, and Excel, with expertise in data cleaning, ETL, statistical modeling, and business reporting. Skilled in leveraging AWS, Azure, and Snowflake to build scalable data pipelines and ensure data quality. Adept at collaborating with cross-functional teams to support data-driven decision making.

Technical Skills

Data Analysis & Visualization: Tableau, Power BI, Excel (Pivot Tables, VLOOKUP, Macros), Matplotlib, Seaborn

Programming & Scripting: Python (Pandas, NumPy, Scikit-learn, Matplotlib), R (ggplot2, dplyr)

Databases: SQL Server, MySQL, PostgreSQL, Oracle, Snowflake

ETL / Data Processing: SQL, Pandas, SSIS, Talend, dbt

Cloud Platforms: AWS (S3, Redshift, Glue, Athena), Azure (Data Factory, Synapse, Blob Storage)

Statistical & ML Tools: Regression, Hypothesis Testing, Time Series Analysis, Clustering, Classification

Others: Agile/Scrum, JIRA, Git/GitHub, Data Warehousing (Star & Snowflake Schema), Data Governance

Professional Experience

Data Analyst Elevance Health Atlanta GA

Project: Healthcare Analytics and Patient Data Insights June 2024 – Present

Designed and developed ETL pipelines using Azure Data Factory and AWS Glue for healthcare claims and patient data ingestion.

Created Power BI dashboards for executives to monitor patient outcomes, claims processing efficiency, and provider performance.

Applied predictive analytics models in Python to forecast patient readmission risks and treatment effectiveness.

Performed data cleansing, transformation, and standardization using SQL and Pandas to ensure HIPAA compliance and accuracy.

Built star schema and snowflake schema models in Azure Synapse for healthcare reporting.

Implemented data quality checks and validation rules to improve trust in analytics deliverables.

Developed Excel-based financial reports for cost analysis and operational performance.

Leveraged R (ggplot2, dplyr) for statistical modeling and advanced visualization of patient care data.

Configured Azure Blob Storage and AWS S3 for secure data storage and archival.

Integrated JIRA and Agile workflows for tracking user stories and analytical deliverables.

Partnered with business stakeholders and clinicians to translate business requirements into BI solutions.

Environment: Azure Data Factory, Azure Synapse, AWS Glue, Python, Pandas, NumPy, R, Tableau, Power BI, Excel, SQL Server, PostgreSQL, Azure Blob Storage, Snowflake, JIRA, Agile/Scrum

Data Analyst CMC Hyd India

Project: Enterprise Banking Data Analytics & Reporting June 2021 – July 2023

Developed and optimized SQL queries to extract, transform, and analyze transactional and customer data from multiple relational databases.

Built interactive dashboards in Tableau and Power BI to track key KPIs such as loan performance, credit risk, and transaction trends.

Automated ETL workflows using SQL Server Integration Services (SSIS) and Python scripts, reducing manual reporting efforts by 60%.

Applied statistical models to assess risk scores and predict customer churn using Python

(Scikit-learn).

Conducted data cleaning and preprocessing using Pandas and NumPy, improving reporting accuracy by 35%.

Partnered with stakeholders to identify data-driven opportunities for reducing fraud and enhancing customer experience.

Integrated data from Excel, CSV, and API sources into a centralized reporting database.

Performed ad-hoc analysis to support compliance reporting for RBI and Basel requirements.

Designed stored procedures and views to standardize reporting processes across teams.

Collaborated in an Agile/Scrum environment, providing sprint deliverables and demo presentations.

Supported migration of data warehouse to Snowflake, ensuring scalability and cost- optimization.

Environment: SQL Server, MySQL, Python, Pandas, NumPy, Tableau, Power BI, Excel, SSIS, Snowflake, Git, Agile/Scrum

Education

Master of Science in Computer Science – University of Central Missouri, Kansas 2023 – 2025

Bachelor of Technology in Computer Science and Engineering – JB Institute of Engineering and Technology, Hyderabad, India 2019 – 2023

Certifications

Microsoft Certified: Data Analyst Associate (Power BI)

AWS Certified Data Analytics – Specialty

Tableau Desktop Specialist

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