Mumbai Metropolitan Region
PM with MBA (FMS Delhi, CAT 99.8%). Track record of shipping revenue - $2M ARR in 6 months at Maersk Supply chain (250+ Enterprises, 5mn cargo journeys), 500–850 bps conversion funnel lift for 350bn$ Amazon 3P E-commerce (VP Award). Data-first by training (ex-Data Scientist & Product Analyst), builder by conviction: Solo-built consumer product with live users: agentic AI, RAG retrieval, parallel model inference.
Global 3P supply chain platform serving 250+ enterprise customers across multimodal supply chains; Owning the shipment visibility product driving Maersk's Growth flywheel (Visibility → Insight → Action). Leading a dedicated squad of 10 engineers & 1 designer. Reporting to Director. • Led platform visibility strategy and scaled reliable shipment visibility from 18% → 73% (north star metric) by designing multi-source data integration and automation, enabling enterprise customers to reduce time to manage disruptions by 50% across 5M+ cargo journeys annually. • Identified unmonetised whitespace in enterprise demand for carbon-aware logistics decisions - designed standalone upgrade path, set pricing, launched emissions analytics product generating $2M ARR in 6 months with 80% trial-to-paid retention. • Drove 2X engagement boost and improved tracking user experience CSAT from 71→88 by prioritizing reliable real-time shipment tracking and introducing automated driver check-ins via WhatsApp for idle trucks, improving ETA accuracy and driving customer acquisition by differentiation. • Led redesign of ETA prediction ensemble AI model leading to 100 bps reduction of safety stock for retail enterprises by designing multi-signal switching logic identifying source of truth between carrier port-call signals, 3P vendor data and in house prediction models. • Revamped fragmented user journey (5+ screens to only 2) after uncovering through customer research that users struggled to answer “Where is my cargo?”, enabling faster disruption management and shipment tracking with reduced friction. • Delivered workflow efficiency at scale by migrating 200+ enterprise support teams from manual supply chain ops to an automated architecture - reducing manual effort by 90%, enabling 3X user growth while unlocking near-zero marginal cost per customer projecting 6X EBIT growth.
Engaged part-time during MBA final year to identify and implement platform improvement opportunities, converted to full time role • Diagnosed missing on-time data as leading cause for charge disputes and customer pain; integrated a new data source as platform source of truth — saving $10mn+ for over 250 enterprises and $500K+ for Maersk Carrier business in disputed charges annually. • Reduced data COGS by 33% by building $1 million business case for provider performance audit and SLA renegotiation.
O3 Capital is a boutique M&A advisory firm. I worked within the Life Sciences vertical, supporting deal origination and client pitching across the Indian pharma and healthcare mid-market. What I did: 🔍 Screened 1,600+ firms down to 100 high-potential leads using automated web scraping combined with financial and operational metric analysis — building a repeatable deal origination pipeline 📊 Built company profiles and pitch decks used directly in client conversations — translating financial data into a clear investment narrative for target acquirers 📈 Redesigned the valuation framework used to analyse 150+ M&A deals since 2018 — deriving market trends in deal multiples, sector consolidation patterns and valuation drivers across Indian pharma & health sciences Findings from this research were later published under Dr Pankaj Sinha at FMS Delhi.
Accelerate Amazon's flywheel by improving selling partner experience to fast-track product led growth. Embedded within Amazon's Selling Partner Experience analytics division — product decision-making for the 3P marketplace serving 1M+ sellers and $300bn GMS worldwide. 🏆 Received two VP-level awards for speed of execution, cross-functional coordination and measurable impact • Owned A/B test experimentation roadmap to improve listing quality and discovery, expanding buyer-visible search inventory (ASIN impressions: 0.1% → 15%) and reducing seller listing friction (+800 bps first-time listing success) via behavioural cohort analysis based measures. • Defined product listing experience north star by shifting from listing quality to buyer behaviour, ensuring optimisation for end user experience validated by e-commerce discoverability to purchase funnel lift (+500-850 bps): Search Impressions → Glance Views → Cart → Purchase
MuSigma is one of India's largest decision sciences firms, serving Fortune 500 clients across industries. I worked across four client engagements — spanning oil & gas, automotive, banking and internal R&D — building data pipelines, ML models and analytics products. What I delivered: ⚙️ Eliminated ~10,000 manual hours & ~$2mn in annual costs for Chevron — by building an OCR-based classification and automated ETL pipeline to digitise engineering plant diagrams across printed, handwritten and digital formats; visualised via a PowerBI + PowerApp tool for field teams to view, edit and export 🏦 Cut ML model time-to-market from 2 months → 3 weeks for CitiBank — by developing an evaluation framework, testing AutoML and model lifecycle management platforms, and automating custom validation and report generation 🏎️ Built an interactive executive performance monitoring dashboard for a Fortune 20 automotive manufacturer — automating data assets and ETL procedures to support real-time incentive scheme tracking across leadership 🔬 Led internal R&D on OCR methods and applications — evaluating open-source ML models, packages and third-party tools across computerised, handwritten, tabular, typewritten and form-type data; findings contributed directly to the Chevron engagement