Apr 2022 – Feb 2026 · 3 yrs 10 mos

• AI Enablement & LLMOps
• Driving Amazon Transportation’s AI-enabled analytics transformation, unifying 6 global partner teams (XX K+ analysts) under a federated network–domain operating model.
• Established governance frameworks & capability maturity models, reducing fragmentation across tools, data & metrics while aligning executive leadership on a single operating model.
• Launched GenAI-enabled execution, embedding MCP servers and Bedrock-based agents to standardize metadata access, accelerate decision-making & modernize builder/analyst workflows at scale.
• Delivered Chatbots to answer business questions, Built data pipelines via LLMs
• Global DEA (Delivery Estimate Accuracy),
• Global Technical Ownership – Led standardization & modernization of Delivery Estimate Accuracy (DEA) datasets, dashboards, data pipelines, and BI logic across Amazon’s worldwide fulfillment network (NA/EU/JP, 450+ teams as consumers).
• Data Pipeline Optimization /Observability: Ensured high-performance for 150+ ETL pipelines with a strictly defined 7 AM SLA, maintaining data quality, stakeholder alignment & operational excellence. Led development of data observability module for pipeline tracking & issue resolution via 24X7 on-call.
• Defect Attribution & Root Cause Analysis – Designed and implemented First Mile (FM) , Middle Mile ( MM) and Last Mile (LM) Defect Attribution buckets enabling D-1 defect tracking during package pickup and delivery & improving logistics efficiency empowering leadership with actionable data-driven insights for logistics & fulfillment.
• Supply Chain Defect Attribution
• Supply Chain Data Science: Collaborated with partner teams to strategize First Pass Yield (FPY) methodology to enhance defect attribution and recovery tracking across Amazon’s supply chain.
• Scalable Data Architecture – Developed CI/CD-enabled, federated platforms to allow data scientists & BIEs to deploy models seamlessly, avoiding monolithic architectures and enhancing cross-team collaboration.

Nov 2019 – Mar 2022 · 2 yrs 4 mos

• Unified Data Strategy Development for Transportation Finance Systmes ( TFS)
• Collaborated with TFS Tech and Product teams to build requirements, joint roadmaps for 7 financial functions.
• Spearheaded the development of a unified data strategy for Transportation Financial Systems (TFS), enabling seamless ingestion, enrichment, and vending of financial data.
• Led Data Pipeline Simplification across 6 TFS platforms (NA/EU/JP), eliminating redundant components, reducing data drops, and saving $60K annually in infrastructure costs.
• Designed & deployed AWS S3 Sniffer, event-based ingestion system, reducing data hops, improving data availability by 40%, and ensuring a 7 AM SLA for key datasets.
• Established Premium datasets (Payments, Sherlock, TAS, PACT), streamlining vendor payments & cost allocation with 100% customer adoption.
• Built D-1 Month End Closure dashboards & monitoring systems, enabling automated job tracking and proactive issue resolution. Improved NA MEC success from 26% to 90% and achieving a consistent 100% timely success rate in EU
• Developed AWS-Global to AWS-China data pipelines, enabling financial data ingestion for China while overcoming cross-partition AWS access challenges.
• Engineered SOX compliant Amtran NA dashboard, automating quarterly financial closures, eliminating manual efforts & improving accounting transparency and governance.
• Built and scaled the Data Engineering team, hiring, mentoring, and developing engineers to deliver high-impact data solutions.
• Established best practices for data governance, operational excellence, and automation, fostering a culture of ownership and accountability.

Jan 2017 – Nov 2019 · 2 yrs 10 mos

• Leverage data science, predictive modeling, and cross-functional analytics to optimize last-mile delivery, reduce defects, and enhance customer & seller experience for Amazon India transportation network. By identifying supply chain inefficiencies and delivery hotspots, I drove strategic initiatives that improved delivery success rates and reduced operational bottlenecks directly impacting cost efficiencies, network visibility and concessions.
• FDDS improvement: Led conceptualization and implementation of “First Day Delivery Success” improvement program in collaboration with LM ACES and ground Ops leading to +250bps YoY improvement. Institutionalized defect metrics (Late night scans, early morning deliveries, FDDS bridges, misses due to late arrivals). Framework extended to 4 external 3P carriers for FDDS improvement with +150 bps impact QoQ
• Scan Compliance: Interfaced closely with ground Ops to reduce bad scans (scans > 300m from customer location), bulk scans (>10 scans in 10 min) & invalid scans marked by DAs in network. Improved root causing of defect with direct business impact on customer contacts (~20% reduction), manual processing of refunds (~5% reduction)
• Repeat defect Rate (RDR): On-boarded IN on WW RDR platform to identify & reduce repeated delivery failures for customers. Collaborated with LM ACES to run FQA pilot for collecting additional address attributes and delivery hints at address level for resolution.
• Late arrivals at Stations: Led development of ‘late arrivals at stations’ bridge to identify Transportation failure point causing late arrival of vehicles at stations. Established processes and controls with Linehaul vendors for defect closure.
• AWS Cloud Migration: IN SPOC for Oracle to AWS Cloud migration. Successfully managed baselining & migration of ~22K queries, 250+ tables across 8 IN teams leading to Oracle Licensing cost savings.

Dec 2013 – Jan 2017 · 3 yrs 1 mo · Greater Hyderabad Area

• Led Marketing & Customer Analytics teams for developing data-driven commercial strategies, patient-level analytics, and brand launch initiatives for multi-billion-dollar pharmaceutical brands. Proven track record in translating complex data into actionable business insights, influencing executive decision-making, and driving revenue growth through data-driven marketing strategies.
• Role 1. Team Leader - Oncology Brand Analytics ( August 2015 - January 2017)
• Role 2: Team Leader - GenMed Brand Analytics ( December 2013 - July 2015)
• Select projects:
• Led the development of a strategic roadmap for the Oncology Business Unit, organizing leadership plenary discussions and breakout sessions. Analyzed key strategic and operational initiatives, identifying organizational barriers and prioritizing investment areas with mitigation plans.
• Spearheaded Voice of Customer (VoC) initiatives, driving service quality and operational excellence for NBS; achieved a 27% increase in overall Customer Satisfaction Scores and a 20% boost in Net Promoter Scores within three quarters.
• Led the Associate Engagement Vertical, conducting focus group discussions with HR to establish recognition & rewards (R&R) processes and represent employee voices in organizational decisions.
• Marketing Analytics & Business Insights
• Designed physician segmentation and targeting models based on sales potential, driving optimized promotional strategies.
• Developed Go-to-Market Strategy for two launch brands (projected >$10B in global sales), leveraging patient-level Big Data for consumer lifecycle mapping.
• Devised a Distribution Channel Transformation strategy, increasing customer buying propensity for first-line products and reducing patient switch rates by 12% in two quarters.
• Led Quarterly Business Deep Dives, identifying key sales drivers and addressing gaps in marketing and sales strategy.

May 2012 – Nov 2013 · 1 yr 6 mos · Pune/Pimpri-Chinchwad Area · On-site

• Led teams for two U.S. Pharma clients on Digital Marketing, Sales Force Strategy, and Business Process Optimization projects.
• Multichannel Pharmaceutical Marketing ( Digital Marketing)
• Executed digital marketing campaigns for both physician and consumer segments across a 12-brand portfolio.
• Provided strategic insights for digital promotions, including Paid Search, Organic Search, Web-based services, direct mail, email, and mobile campaigns, leveraging data from UNICA, Omniture, Google Analytics, and 8+ data vendors.
• Developed regression-based ROI models to measure digital channel effectiveness and penetration rates.
• Designed customer-centric strategies, identifying channel synergies, customer preferences, and digital sales pathways to optimize engagement.
• Strategized, executed, and measured the impact of digital sales models, evaluating pilot campaigns through test-control methodology.
• Led Business Process Optimization for digital marketing operations, achieving a 50% reduction in process time.
• Mapped multichannel As-Is processes, developed To-Be processes, and conducted gap analysis in vendor management to streamline operations.
• Sales Force Analytics
• Developed a market operations strategy for a new product launch, creating sales force sizing models using promotional response curves for key physician segments.
• Recommended an optimized product portfolio (product bag) for sales reps through cluster analysis.
• Quantified the impact of sales force restructuring across people, products, and processes, estimating financial budgets for risk mitigation.

Apr 2011 – Jun 2011 · 2 mos · Bangalore · On-site

• Real Estate Analytics
• Streamlined internal workflow by defining key processes & KPIs post spin off from Ocwen Financials
• Identified evaluation metrics & developed Excel Scorecards for measuring performance of Mortgage attorneys
• Achieved 30% process time reduction for housing mortgage foreclosures; used primary research to identify the bottlenecks causing delays in processes; defined the internal foreclosure process flow for 3 states of US

Jul 2005 – Jun 2010 · 4 yrs 11 mos

• R&D in Wireless and Automotive chip design , specifically,
• Analog and Mixed signal design , verification and layout
• Design of Phased Locked Loop and high speed dividers
• Spearheaded the design, implementation, and validation of the first automotive chip in 45nm technology, driving innovation in semiconductor design.
• 🔹 Led cross-functional collaboration with internal & external design teams to define product specifications, optimize design methodologies, and enhance debugging strategies, ensuring seamless delivery.
• 🔹 Partnered with sales & engineering teams to showcase product capabilities, influencing customer adoption.
• 🔹 Successfully led the design rollout of 10+ consumer application products (2005-2010).
• 🔹 Recipient of the Director’s Distinguished Contribution Award for two consecutive wireless product design projects (2006-2008).
• 🔹 Achieved >$100K in cost savings through design optimizations, while defining quality metrics & automating workflows across 18+ projects.