Headline

Google | Amazon | MBA

About

Developed DRIFT (Dropship Risk Inventory Forecasting Tool), a predictive ML model using Random Forest that classifies ~20K ASINs bi-weekly into high/medium/low inventory risk. This initiative improved inventory accuracy and led to a 28% enhancement in availability through timely vendor outreach. • Led an end-to-end project to reduce ASIN delivery speed from over 7 days to below across US and EU marketplaces, identifying key bottlenecks, optimizing fulfilment strategies, and collaborating with cross-functional stakeholders. • Led demand spike forecasting and purchase order (PO) optimization using advanced metrics like forecast velocity, sales velocity, and lead times. Improved Fast Track (FT) retention for high-risk ASINs by enabling proactive PO planning. • Spearheaded an initiative to improve Glance View Speed (GVS) delivery from 7 days to 2 days, building a robust 20+ layer SQL funnel and automating data pipelines using AWS tools (S3, Lambda, SageMaker, ECR). This enabled faster visibility for 100K–200K ASINs weekly. • Drove vendor engagement across the United States, Japan, and key European markets, resulting in increased vendor retention and on-time PO confirmation rates. • Optimized data pipelines using Cradle profiles, Redshift, and Andes to enhance query performance and ensure scalable analytics delivery.

Location

Bengaluru

AI stack

antigravity

claude

codex

cursor

gemini

ChatGPT

Work experience

Performance Lead at Google, Feb 2026 - Aug 2026 · 7 mos, Bengaluru, Karnataka, India, Directed global Containment Rate and Customer Satisfaction (CSAT) , our OKR for AI chat bot, establishing strategic roadmaps for the Youtube creator Journey that resulted in reduction for human support workload. Partnered with VP-level leadership and cross-functional engineering pods to translate complex containment loss data into actionable product roadmaps, driving structural UX and engineering fixes that systematically mitigated millions of manual human escalations and significantly reduced operational overhead. Leveraged advanced conversational analytics and intent-mapping to optimize LLM prompts and foundational Artificial Intelligence (AI) chat bot logic, significantly improving conversational fluidity, contextual accuracy, and First Contact Resolution (FCR) across the global Creator Journey. Conducted end-to-end forensic funnel analysis of ~25 million Help Center visits to isolate critical drop-off points, executing strategic UI/UX entry-point optimizations that maximized AI chat bot visibility, accelerated user adoption, and scaled overall self-service containment. Mapped complex user journey behaviors using cohort analysis to identify a critical repeat loop, driving advanced contextualization protocols for the AI chat bot to ensure personalized query resolution. Architected predictive anomaly detection pipelines utilizing Z-score statistical models, providing executive leadership with automated defect tracking that accelerated proactive decision making by over 24 hours.

Business Analyst at Amazon, Apr 2023 - Dec 2025 · 2 yrs 9 mos, remote, Developed DRIFT (Dropship Risk Inventory Forecasting Tool), a predictive ML model using Random Forest that classifies ~20K ASINs bi-weekly into high/medium/low inventory risk. This initiative improved inventory accuracy and led to a 28% enhancement in availability through timely vendor outreach. • Led demand spike forecasting and purchase order (PO) optimization using advanced metrics like forecast velocity, sales velocity, and lead times. Improved Fast Track (FT) retention for high-risk ASINs by enabling proactive PO planning. • Spearheaded an initiative to improve Glance View Speed (GVS) delivery from 7 days to 2 days, building a robust 20+ layer SQL funnel and automating data pipelines using AWS tools (S3, Lambda, SageMaker, ECR). This enabled faster visibility for 100K–200K ASINs weekly. • Drove vendor engagement across the United States, Japan, and key European countries markets, resulting in increased vendor retention and on-time PO confirmation rates. • Embedded data-driven decision-making into scorecard and dashboard development, Influencing cross-functional stakeholders. • Optimised data pipelines using Cradle profiles, Redshift, and Andes to enhance query performance and ensure scalable analytics delivery.

Business Analyst at Simplilearn, Apr 2022 - Aug 2022 · 5 mos, Bengaluru, Karnataka, India, Creating dashboards as per business requirements. Automating the push reports of tableau dashboards consumed by stakeholders. Working on python, tableau, batch scripts and corn jobs. Worked as production supports to solve the ad-hoc tasks.

Senior Process Analyst at Cognizant, Mar 2020 - May 2021 · 1 yr 3 mos, Bengaluru, Karnataka, India, Responsibilities include coordinating with 100+ Amazon Brands & advertisers by using the AMS platform for better ROI by setting up & managing their product ad campaigns & constantly monitoring them for better ROI.

Marketing Executive at Guitcom Consulting Pvt. Limited, Apr 2019 - Feb 2020 · 11 mos, Bengaluru, Karnataka, India, Conceptualizing and developing design concepts, graphics, and layouts. Designing and producing collateral in accordance with brand guidelines. Presenting ideas, concepts, and design solutions to various stakeholders and incorporating their feedback into the final design.

Education

Master of Business Administration - MBA, PGDM - Big Data Analytics, Goa Institute of Management (GIM)

Bachelor of Engineering - BE, Information Technology, Sir M Visvesvaraya Institute Of Technology