United States
I'm an analytics and AI platform leader with 8+ years of experience driving data strategy, platform architecture, and operational analytics across global teams (NA, Canada, EU, India). I'm currently the designated Lead AI Strategist at Amazon's Relay Operations Center, where I architected and shipped ROC.ai — a production-grade conversational AI analytics platform on Amazon Bedrock leveraging RAG, agentic AI, and serverless AWS architecture. Over the years, I've led interim analytics teams, owned $1B+ in entitlement validation and cost-optimization planning across annual OP1 / OP2 cycles, and translated complex data into executive-ready insights for L6 – L8 (Director-level) leadership. I care about building systems that make data genuinely useful — not just reportable — and about turning operational complexity into something people can act on quickly.
Business Analyst III (L6) at Amazon's Relay Operations Center (ROC) Tech — designated Lead AI Strategist, leading the AI roadmap and platform build for ROC operations across NA, Canada, EU, India, and Japan. Previously served as Interim Analytics Manager (2024) for the team while maintaining IC workload. Highlights: • Sole architect, builder, and shipper of ROC.ai — a production-grade conversational AI analytics platform on Amazon Bedrock that reduced data access latency from hours/days to under 30 seconds (14,200+ lines of Python, 6 Lambda functions, 19 API endpoints). • Owned end-to-end entitlement validation cycles supporting $322MM (OP1 2025) and $400MM (OP1 2026) in operational planning — root cause analysis, opportunity sizing with PMs, WFM headcount baking, Finance sign-off, and L6–L8 leadership walkthroughs. • Delivered $50MM in cost savings through PRECOG and $25MM in annual savings through dwelling load optimization; supervised 500+ critical operational events contributing to ~28% YoY reduction in active minutes per load. • Pioneered "active minutes/load" as a strategic KPI for ROC operations. • Partnered with WFM over 5+ years to overhaul the labor planning model — increased planning granularity from high-level disruption tasks to a 3-level bifurcation per task type (WIMs, SIMs, Cases, C2C). • Drove cross-functional collaboration with 20+ stakeholders up to L8 (Director) level across Operations, Technology, Finance, and WFM during OP1 / OP2 cycles. Focus areas: Generative AI on Amazon Bedrock (Agents, Knowledge Bases, RAG, agentic AI, Text-to-SQL), AWS serverless architecture (Lambda, Redshift, S3, API Gateway), Python, SQL, predictive modeling, workforce capacity planning, and stakeholder enablement.
● Product Development- Python: Developed a stand-alone application for Operations and Inventory management. ● Business Transformation: Automated the manual process of logging data with user-friendly standalone application. ● Data Management: Worked on SQL for back end process and data management.
● Data Analysis and Insights: Ensured readiness and conducted planning for the R&D departments to simulate sale over quarterly basis by using data modelling and data visualization. The model accurately predicted the SKUs and decreased cost incurred by the clients by at least 19.90% points. ● Global Business Development: Led international marketing campaigns for a customizable custom relationship model and sourced business engagement from fortune 500 enterprises worth 2.7 million. ● Risk Advisory: Managed cross domain teams to analyse data having 1 million entries to develop an innovation-based ecosystem in the aftermath of a recessionary period for clients based in India increasing the IP revenues by 9.5%. ● Stakeholder Management: Engaged with head of legal and marketing departments to mentor the front-end team about systematic thinking and digital integration touch points; trained 7 internal team leads on enterprise systems. ● Inter-departmental Management: Strategized working between cross functional teams for blue chip clients and provided advisory services leading to synergies across teams based on inhouse data optimization tools, improving client’s profitability by 11.7%.
● Delivery Management: Supervised a 5-member team comprising lead consultants and senior associates to revamp legacy processes. Saved $300,000 and awarded “Curious and Innovative Thinker” on IP day, 2016. ● Operational Management: Researched the process undertaken 1by the firm and identifies bottleneck. Subsequently, modified process designs to improve team’s billings and productivity by 25 percent ● Customer Relationship Management: Handled prosecution and licensing deals on behalf of Fortune 500 clients by managing 15 vendors in 7 different countries.