Open to opportunities

Venkat Ramana Gundeboina

@venkatramanagundeboi

Message

I build product analytics dashboards and insights that improve user journeys and decisions.

United States

Message

What I'm looking for

I'm looking for a product or data analytics role where I can build scalable metrics, dashboards, and analytics workflows, partner with cross-functional teams, improve product decisions, and use modern AI and automation tools to increase analytics productivity.

At Cigna, I build SQL and Python analytics workflows, product KPIs, and dashboards that accelerate data-driven decisions. My work improved workflow conversion rates by 29%, experiment success rates by 44%, and data accuracy by 24%.

Previously at Infinite Infolab, I developed interactive Tableau, Power BI, and Looker dashboards, reducing manual reporting time by 40%. I also built SQL pipelines on BigQuery and Redshift, implemented Mixpanel and GA4 frameworks, and used Python and machine learning to identify behavior patterns and churn signals.

I'm focused on exploratory analysis, root cause investigation, reliable event tracking, and scalable reporting. I collaborate across teams to define metrics, improve data quality, and turn product data into actionable decisions.

Experience

Work history, roles, and key accomplishments

Current

Product Analyst

Current

Cigna

Nov 2024 - Present (1 year 9 months)

Developed complex SQL queries and Python scripts to extract actionable datasets, enhancing communication of insights that accelerated data-driven decision-making by 35%. Automated dashboard development in Tableau and Power BI, integrating Redash and Looker, to reduce reporting turnaround time by 35% and increase cross-team data accessibility.

SQL Python Tableau Power BI Looker Redash Root Cause Analysis Machine Learning AWS Workflow Automation Amplitude Mixpanel DBT Snowflake Redshift

Product Analyst

Infinite Infolab

Feb 2021 - Nov 2023 (2 years 9 months)

Developed 12 interactive dashboards in Tableau, Power BI, and Looker using advanced SQL queries, reducing manual reporting time by 40% and accelerating executive decision-making. Built exploratory data analysis workflows in Python with Pandas and applied machine learning to diagnose user behavior patterns, increasing engagement by 26%.