Sai Pranav Vemulapalli

Reconciled and standardized data migration protocols for a legacy-to-Oracle transition, achieving 100% accuracy for Asset Items Data, PO Items, and Invoice lifecycles. Proactively resolved migration gaps by cleansing and reconstructing missing records, preventing load failures and establishing long-term data integrity. Modernized Durability and Usage metrics by developing complex KPI logic in Excel and collaborating with stakeholders and the BI team to migrate insights into Power BI for real-time data accuracy to support strategic decision-making. Facilitated cross-functional alignment between BI, QA, and Fleet teams by implementing technical specifications and modifying SQL queries to extract precise metrics, managed UATs for system enhancements, and approved Agile user stories to ensure deliverables met design criteria.

Developed a scalable data ingestion pipeline to retrieve multiple files of various extensions from Microsoft Azure blob storage. Implemented a chunking technique to divide data into smaller segments, increasing processing speed and enabling faster transformation into vector embeddings. Applied advanced machine learning algorithms to store and extract embeddings from a vector database to accurately answer user queries, resulting in a 70% improvement in query response accuracy.

Analyzed complex datasets using statistical methods to identify trends and transform raw data into actionable insights. Architected scalable data systems and foundational datasets to ensure high standards for accuracy and BI accessibility. Implemented rigorous data validation and cleansing protocols to remediate errors and guarantee analytics integrity.