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

● Developed LLM-enhanced automation tools using LangChain and Python with vector embeddings for document classification
and NLP-based extraction.
● Performed advanced data cleaning and validation for AI/ML pipelines using Python and SQL.
● Built interactive dashboards using Tableau to track KPIs, performance, and project ROI.
● Collaborate cross-functionally with stakeholders and engineering teams to deliver GenAI insights.

● Designed and developed interactive dashboards using Power BI, Tableau, and Excel to visualize KPIs, operational trends, and
business performance for cross-functional stakeholders.
● Created, maintained, and optimized SQL queries to extract insights from large datasets, supporting product, marketing, and sales
● Conducted data validation and quality assurance across systems to ensure accurate reporting and compliance standards.
● Performed data cleaning, transformation, and standardization using Python to prepare structured datasets for analysis.
● Delivered actionable insights through exploratory data analysis (EDA), improving reporting accuracy and decision-making.
● Worked closely with business stakeholders to define requirements, reporting metrics, visualize key business processes, and
automate weekly/monthly reporting workflows.
● Participated in sprint planning, and documentation efforts to align reporting outcomes with business priorities.
● Applied statistical methods and forecasting techniques to provide insights on customer retention, sales performance.

● Developed interactive dashboards in Qlik Sense, Power BI, and Tableau to support real-time monitoring of KPIs.
● Provided ad-hoc analysis and data extracts to business stakeholders, enabling data-driven decisions across departments.
● Cleaned and integrated customer data from multiple internal systems to improve reliability
● Coordinated internal knowledge sharing sessions on best practices for ETL pipeline monitoring and visual storytelling