Pranav Madhav Bagepalli

Teaching Assistant | CS 4000 - Senior Capstone Project - Design Phase | - Played a key role in the design phase of the senior capstone project, contributing to team formation, project identification, and planning. - Collaborated with students on software architecture, development, testing methods, and scheduling. - Guided project development and facilitated effective communication within project teams.

• Developed business specific reporting packages in Kotlin which are responsible for generating 1000+ royalty reports monthly for stakeholders across multiple digital businesses, including video, music, ebooks and software. Integrated these packages with report generation workflow which helps customers download these reports. • Spearheaded the migration from ion-based workflows to a streamlined Kotlin/SQL process, significantly enhancing system cohesion and improving accuracy by 30% through custom report validators. • Leveraged AWS services such as Firehose, Athena partitioning, and SQS to drastically reduce month-end royalty report generation time from over 15 minutes to mere seconds. • Managed on-call responsibilities, successfully resolving over 200+ critical issues, ensuring uninterrupted operations.

• Designed and developed robust data pipelines that extracted, cleansed, and transformed historical telemetry data, enabling advanced analytics that revealed customer pain points and valuable business insights. • Led the migration of over 10 data lakes into a unified Delta Lake, reducing computational costs by 25% and enhancing security and performance to meet evolving privacy requirements. • Optimized ETL processes in legacy data pipelines, contributed to deployment design, and conducted comprehensive end-to-end testing.

• Developed a filtering module within the ”Cumulus Wppgen2 pipeline” project, focusing on General Data Protection Regulation (GDPR) compliance. Implemented efficient processes to extract opted-out and never-offered records based on user consent. Also, investigated anomalies between telemetry and enterprise data from diverse ecosystems, contributing to data integrity enhancement and system optimization. Projects

Academic Courses: CS 6150 Advanced Algorithms CS 6530 Advanced Database Systems CS 6350 Machine Learning CS 6810 Computer Architecture CS 6450 Distributed Systems CS 6630 Visualization for Data Science CS 6964 Manage Data for & with ML CS 6460 Operating Systems