BHAVAN KUMAR BASAVARAJU

●Designed predictive dashboards and data visualizations to support leadership insights
● Performed large dataset analysis using SQL and Python to extract and model behavioral trends
● Built SQL-based pipelines for ingestion and real-time reporting, reducing latency by 35%.
● Developed Python models for forecasting and anomaly detection to support Finance and Sales teams.
● Delivered Power BI and Tableau dashboards visualizing KPIs across customer, sales, and operations.
● Integrated CRM data into analytics pipelines for performance analysis.
● Automated business reports, reducing manual reporting workload by 40%.
● Conducted A/B tests on sourcing strategies and visualized results using Power BI for internal strategy presentations
● Documented research findings and insight reports in Confluence and presented performance reviews to senior stakeholders

● Collaborated with annotation, dev, and QA teams to deliver NLP-powered document classification workflows
● Created stakeholder-facing Tableau dashboards to track project progress and data labeling accuracy
● Participated in requirement gathering and feasibility analysis for GenAI document processing systems
● Prepared business and technical documentation for PoCs, including assumptions, data flow, and acceptance criteria
● Collaborated with tagging teams (CVAT) and engineers to improve data annotation quality and feedback loop efficiency.

● Built interactive dashboards in Qlik Sense, Power BI, and Tableau for customer experience and operational analytics
● Automated SQL reports to track churn, usage trends, and post-merger integration KPIs
● Led UAT and QA testing for BI migrations from Hadoop to Spark, ensuring data accuracy and performance
● Partnered with cross-functional teams to standardize KPI definitions and reporting logic
● Presented complex analytical findings to non-technical stakeholders with clear visual storytelling

● Developed and deployed enterprise-wide Power BI datasets with Row-Level Security (RLS) to standardize KPI reporting
● Optimized SQL queries for sub-second dashboard loading, improving data accessibility for executives
● Designed data governance framework for consistent metric definitions and report validation
● Automated data ingestion from multiple formats (CSV, JSON, XML) using Python scripts for reporting pipelines
● Collaborated with stakeholders to translate business objectives into data models and reporting solutions
● Conducted root cause analysis on KPI variances to provide actionable recommendations to leadership