Venkata Varma

I am a results-driven data analyst with experience delivering data-driven solutions across telecom, banking, retail, and e-commerce domains. I combine SQL, Python, and BI tools like Power BI and Tableau with cloud platforms to build scalable dashboards, predictive models, and automated pipelines.

At AT&T I designed churn dashboards and an AI-powered churn prediction model, reducing churn by 15% and achieving 85% model accuracy. I have improved reporting accuracy, automated ETL and reporting processes, and integrated real-time feeds to enable faster stakeholder action.

In roles with Infosys clients I migrated legacy reports to modern BI, built ETL pipelines consolidating disparate data sources, and delivered NLP sentiment analysis and anomaly-detection solutions for fraud and operations. My work has driven measurable improvements in adoption, efficiency, and revenue.

I focus on translating complex data into actionable insights, defining KPIs, and collaborating across functions to support strategic decisions, cost reductions, and improved SLA compliance.