---
title: "Aditya Kamath - Product Manager in Mumbai Metropolitan Region | Tal"
description: "Meet Aditya Kamath, Product Manager @Target | FMS Delhi ’24 | ex Amazon, Maersk | based in Mumbai Metropolitan Region. AI stack includes cursor and opencode. Explore public work links including github."
image: "https://tal.club/meet/aditya-kamath/share-image"
---

# Aditya Kamath on Tal

## Headline

Product Manager @Target \| FMS Delhi ’24 \| ex Amazon, Maersk \|

## About

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\.

## Location

Mumbai Metropolitan Region

## AI stack

cursor

opencode

## Work experience

Product Manager at Target, Jul 2026 \- Present · 2 mos, On\-site

Product Manager at A\.P\. Moller \- Maersk, Jun 2024 \- Apr 2026 · 1 yr 11 mos, India, 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\.

Product Consultant at A\.P\. Moller \- Maersk, Nov 2023 \- Jun 2024 · 8 mos, Remote, 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\.

Investment Banking Summer Associate at o3 Capital, Apr 2023 \- Jun 2023 · 3 mos, Mumbai, 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\.

Product Analyst at Amazon, Jun 2021 \- Jun 2022 · 1 yr 1 mo, 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

Data Scientist at Mu Sigma Inc\., Jun 2019 \- Jun 2021 · 2 yrs 1 mo, Bengaluru, Karnataka, India, 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

## Education

Master of Business Administration \- MBA, Business Administration and Management, General, Faculty of Management Studies \- University of Delhi

Bachelor of Technology, Electrical and Electronics Engineering, Manipal institute of technology

## Public links

- github: https://github\.com/adityaka24\-code

[View the original profile](https://tal.club/meet/aditya-kamath)

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