# Venkat Ramana Gundeboina

> Data Analyst | SQL • Python • R • Power BI • Tableau • AWS • PySpark • Airflow | Data Warehousing & BI

Location: Greater Chicago Area, United States
Profile: https://flows.cv/venkatramanagundeboina

## Work Experience
### Data Analyst @ Cigna Healthcare
Jan 2024 – Present
• Built automated ETL pipelines using PySpark and Apache Airflow to ingest claims and member data into PostgreSQL, improving data availability and reducing manual processing effort by 35%
• Developed predictive models in Python (scikit-learn, Pandas) to identify high-risk members, increasing early risk detection accuracy by 18% over baseline statistical methods
• Designed interactive dashboards in Power BI to track KPIs such as claims trends and cost utilization, enabling leadership to make faster data-driven decisions
• Optimized complex SQL queries using CTEs, window functions, and indexing in SQL Server, reducing reporting query runtime by 28%
• Conducted A/B testing and statistical analysis in R and Python to evaluate care management interventions, supporting measurable improvements in program effectiveness
• Partnered with data engineering teams to implement dbt-based data transformations within a structured warehousing layer, improving data consistency and reporting reliability across departments

### Data Analyst @ Infinite Infolab
Jan 2021 – Jan 2023
• Analyzed large structured datasets using SQL and Python (Pandas, NumPy) to generate business insights, reducing ad-hoc reporting turnaround time by 30%
• Built automated dashboards in Tableau and Excel (Pivot Tables, Macros, VLOOKUP) to monitor operational KPIs, improving visibility across cross-functional teams
• Designed and maintained data models in MySQL and PostgreSQL, ensuring clean, normalized datasets to support analytics and BI initiatives
• Performed statistical analysis and data mining techniques in R (ggplot2, dplyr) to identify customer behavior patterns, contributing to targeted strategy improvements
• Developed ETL workflows using SQL and Python scripts, standardizing data ingestion processes and improving data accuracy across reporting systems
• Supported business stakeholders through predictive modeling and trend forecasting, enabling proactive planning and more informed resource allocation
• Collaborated in Agile/Scrum environments to gather reporting requirements and deliver BI solutions aligned with evolving business priorities, improving stakeholder satisfaction and delivery consistency


## Education
### Master of Science - MS in Data Science
Lewis University

### Bachelor's degree in Electrical and Electronics Engineering
JNTUH College of Engineering Hyderabad


## Contact & Social
- LinkedIn: https://linkedin.com/in/venkat-ramana-gundeboina-3638a6317

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Source: https://flows.cv/venkatramanagundeboina
JSON Resume: https://flows.cv/venkatramanagundeboina/resume.json
Last updated: 2026-04-17