• Actively contributed to Project IDN Unplug, an endeavour aimed at effectively transitioning all analytical onboarding processes (with a staggering 18K+ variables and 60K+ tables) from the decommissioned IDN (SASGrid) Server to the advanced Cornerstone Server.• Took a pivotal role in the development of the Analytical Data Layer (ADL), a robust and versatile data infrastructure encompassing diverse markets that effectively addresses the challenges and issues previously encountered with the IDN Server.• Successfully automated Data Ingestion processes for international markets, guaranteeing uninterrupted and optimised operations on the Cornerstone server and establishing a seamless data workflow across diverse markets.

• I was vested with the responsibility to implement "Speech Diarization- Hindi Language" which involved the recognition of multiple speakers in an audio clip and generating metadata in the form: Speaker Label | Start Time | End Time.• I explored different approaches which included various Open-Source models, and narrowed them down to the most adequate one that would yield the best result as per the project problem's need.• Final Result: 0.234 Diarization Error Rate (DER)