Open to AI & data product roles

Aseem Jain.
Data & AI products.

Senior Product Manager with 6.5 years building products on messy, real-world data — from ML models on truck GPS signals to running a ₹3,600 Cr payments business. Now at IIM Ahmedabad (MBA-PGPX ’27).

See my work → LinkedIn ↗
₹3,600 Crannual FASTag transaction volume owned
1.5Mactive vehicles on the platform
87%payment success, up from 72%
96.7%accuracy of GPS signal-loss model
01 — About

Engineer → analyst → PM.
Always close to the data.

I started as an IoT engineer and data analyst, training ML models on truck GPS and IoT data. Over nearly seven years at WheelsEye I grew into a Senior Product Manager, working across connected devices, analytics, operations and eventually FASTag and payments for 1.5 million trucks.

At PCL Health, a London healthtech startup, I ran remote-care pilots with NHS hospitals — applying the same curiosity to a very different set of customer needs.

I enjoy understanding customer problems, finding patterns in data, and bringing teams together to turn those insights into useful products. I'm especially interested in how products handle uncertainty: when to automate, when to ask for human judgment, and how to know whether the outcome is actually better.

Now at IIM Ahmedabad's PGPX, I'm building the business perspective to lead larger products and teams. My research explores AI-based credit risk for small businesses.

Not AI for show. AI that solves a specific problem, improves a decision, and earns customers' trust.

  • Products with a model or a score at the core
  • Human-in-the-loop where confidence is low
  • Outcomes measured, not assumed
02 — Experience

Where I've built.

Feb 2022 — Aug 2025
Gurugram, India

Senior Product Manager

WheelsEye · FASTag & Payments

Owned FASTag strategy and the payments platform across ₹3,600 Cr annual volume, ₹36 Cr ARR and 1.5M active vehicles. Led a 12-person cross-functional pod.

  • Launched a 0→1 postpaid FASTag credit product in 60 days with IDFC First Bank — ₹2.5 Cr ARR by month 3 at ~0.3% NPA.
  • Built toll anomaly detection with automated disputes — dispute calls down 34%, reimbursement from 45 to 3 days, ~₹50L new annual revenue.
  • Raised payment success from 72% to 87% across 250K daily transactions with dynamic routing and UPI failover.
  • Rebuilt onboarding — sales-to-activation from 40% to 87%, helpline calls down 70%.
Aug 2021 — Feb 2022
London, UK

Product Manager

PCL Health · Remote care

Led product strategy, roadmap and GDPR-ready processes for a healthtech startup.

  • Ran remote-care pilots across 10 NHS-affiliated hospitals in 3 months; converted one to a paid contract.
  • Built an OCR health-device reader on Google Vision, removing per-device Bluetooth SDK work.
  • Introduced scrum across an India–UK team — delivery cycles 35% faster, activation time down 40%.
Apr 2020 — Aug 2021
Gurugram, India

Product Manager

WheelsEye · Operations & Devices
  • Built a geo-based auto-allocation engine for 2,800 daily orders — hit rate up 27%, cost per order down 22%.
  • Improved right-first-time installs by 23% and cut churn 22% with an A/B-tested wire-check flow.
  • Saved ₹28L/month through SIM routing optimisation and an inventory system tracking 60K GPS units.
Nov 2018 — Apr 2020
Gurugram, India

Data Analyst & IoT Engineer

WheelsEye · Analytics
  • Built a 27-feature model predicting GPS signal loss at 96.7% accuracy across a 200K-truck fleet.
  • Built the risk analytics POC that onboarded Tata Motors Finance and ICICI Bank as partners.
  • Engineered truck-behaviour features lenders used to assess borrowers with no credit history.
03 — Selected work

Products with a model at the core.

A few things I've shipped, and the numbers they moved.

60 days
idea to launch · ₹2.5 Cr ARR by month 3

Postpaid FASTag credit

A 0→1 credit product for truckers. Validated demand through 2,000 call transcripts, then aligned engineering, design, legal, leadership and IDFC First Bank to ship — at ~0.3% NPA.

Fintech0→1Credit
45 → 3
days to reimburse a wrong toll

Toll anomaly detector

Checks every FASTag deduction against plaza- and vehicle-specific tariffs and raises disputes on its own. Dispute calls fell 34% and it became a ~₹50L annual revenue stream.

Anomaly detectionAutomationPayments
−80%
minimum-KYC drop-offs

Confidence-routed KYC

OCR extraction for Aadhaar/PAN at 1.5M-vehicle scale, with correction workflows and routing to human review whenever the model isn't confident.

OCRHuman-in-the-loopCompliance
72 → 87%
payment success rate

Smart payment routing

Success-rate-based dynamic routing across 250K daily transactions and 10 verticals, with automatic UPI redirection during bank downtime. Checkout time halved.

PaymentsReliabilityPlatform
96.7%
held-out accuracy · 200K trucks

GPS signal-loss prediction

A 27-feature logistic regression model predicting when trucks exit GPS "no-info zones", built in Python and SQL on production MongoDB and PostgreSQL.

MLIoTPython
2 lenders
Tata Motors Finance & ICICI Bank onboarded

Truck-behaviour credit signals

Round-trip frequency, rolling utilisation and route features across 150K vehicles, used by lenders to judge borrowers in an asset class with no reliable credit history.

Risk analyticsFeature engineeringLending
04 — Toolkit

What I bring to the table.

Product

Product strategyRoadmappingCustomer researchGo-to-marketCustomer segmentationA/B testingAgile / ScrumPricing & monetisation

Data & AI

PythonSQLMachine learningStatistical analysisAnomaly detectionOCR / Computer visionCredit riskMongoDBPostgreSQL

Tools & domains

MixpanelMetabaseFirebaseUXCamGoogle VisionFintech & paymentsTelematics & IoTHealthTech
2026 — 2027

IIM Ahmedabad

MBA (PGPX), one-year full-time residential programme

1 year

IIT Delhi

Certification in Data and Decision Science

2014 — 2018

VIT Vellore

B.Tech, Electrical, Electronics & Communications Engineering

🥁 Percussionist✍️ Writes poetry🌍 Travels to immerse in cultures
05 — Contact

Let's build something
that earns trust.

I'm exploring AI and data product roles where customer understanding, technical depth and business judgment come together.

x26aseemj@iima.ac.in LinkedIn ↗