Gatamaneni Venkata Sai Swetha

• Developed a Retrieval-Augmented Generation (RAG) system with enhanced tabular-data support, overcoming key limitations in the existing pipeline. • Fine-tuned pre-trained embedding models for domain-specific scenarios, boosting semantic search performance across internal company documents. • Improved retrieval quality to support accurate, context-grounded responses and reduce hallucinations in downstream applications.

• Supported the migration of tool functionalities to Power BI dashboards with PowerON integration. • Assisted in testing and validation of newly implemented features to ensure efficiency and accuracy. • Collaborated with the Business Intelligence (BI) and Information Technology (IT) teams to communicate business requirements and track progress.

•Developed and maintained dashboards and reports using Power BI. • Conducted data analysis to support business decisions. • Integrated data sources, performed data cleaning, and created DAX calculations. • Provided actionable insights through data interpretation.

• Developed and managed financial dashboards and reports using Power BI, enhancing data visibility and enabling faster, more informed decision-making across controlling units. • Integrated and cleaned data from multiple sources using Power Query, building robust data models that improved data accuracy. • Provided valuable data-driven insights into strategic business recommendations for finance teams.

• Ensured quality automation using Quality Assurance processes and prevent any possible bugs. • Trained an automatic bot in order to perform repetitive tasks without human intervention.

Major in Artificial Intelligence and Machine Learning