Vishnu Vardhan Nanda

About

Experience

1. Product Manager

   Current

   Zepto· Bengaluru

   Apr 2025 – Present

   Owned product roadmap for GPS tracking, Freight Tiger customizations, In-house TMS trip scheduling & automation, Smart Lock IoT rollout, Computer Vision damage detection, and analytics-driven network redesign. Freight Tiger (3rd-Party TMS) — Product Management • Owned the product roadmap for GPS tracking coverage on the Freight Tiger platform, scaling live coverage from 30% to 95% across 2,000+ mid-mile vehicles within 2 months by specifying integration requirements across 15+ GPS vendors and onboarding workflows for 120+ transporters • Defined and shipped Zepto-specific product customizations on Freight Tiger — a portable-device-to-vehicle mapping feature for automated real-time tracking, and distance-based trip-closure logic that protected GPS coverage while cutting trip cost by ~₹2L/month • Ran root-cause analysis on GPS ping gaps (idle/no-ping windows) and defined the product fix with Freight Tiger's engineering team, bringing gaps down from 20% to <1% • Authored a PRD defining user personas (facility ops, driver, transporter, admin) and workflows to migrate vehicle/driver onboarding and transporter/facility access management from a Freight-Tiger-dependent flow to a Zepto-owned, config-driven product — cutting vehicle-type inaccuracy from 10% to 0.5% In-house TMS — Product Ownership: Trip Scheduling & Automation • Owned the in-house TMS product end-to-end for trip scheduling — authored BRDs defining user personas (planners, control tower, drivers, transporters) and core workflows: trip assignment, cancellation, swapping, vehicle-type change and change management, driving adoption to 85% adherence within 3 months across 50+ sites • Defined product requirements for an App Script-based scheduling automation feature, cutting planner TAT by 90% and scaling the platform to 80,000+ trips/month across 50+ sites • Owned the post-launch product roadmap for TMS adoption — ran a daily execution cadence with cross-functional teams (similar to agile stand-ups) to track rollout against plan, shipping transporter rate-card mapping and trip cancellation/regularization workflows, driving vendor-MIS auto-validation adherence to 90%+; validated 25 mother hubs (~₹14Cr billing, ~50% of total Linehaul billing) within 3 months • Specified a SQL-based reconciliation feature mapping unformatted vendor MIS (Excel) to TMS data via primary-key logic (vehicle/date/transporter), cutting validation TAT from 2 days to 2 hours and automating ~90% of checks on ₹28Cr+ monthly billing • Designed audit logic reconciling TMS, GPS and CT data to flag billing leakage (5% on ₹3Cr), strengthening platform trust and vendor accountability Smart Lock — Product Management (IoT / Asset Tracking) • Owned the product requirements for an IKIN smart-lock rollout across 2,000+ vehicles, 50+ hubs, replacing manual bolt seals — targeting ~₹2Cr/annum savings from Year 2 and cutting theft/shrinkage by ~70% • Defined the SDK integration spec with Product & IT to embed smart-lock data into the in-house WMS, enabling real-time lock/unlock capture for trip-level monitoring and adherence • Designed the investigation and tamper-alert product logic for inactive, lost and tampered locks, recovering ~40% of monthly lock-loss value Cargo Bar/Net — Product Management (Computer Vision / Damage Detection) • Defined the product spec (with Product & Data Science) for a two-step image-capture and detection model — a back-of-pack hard-check followed by a Cargo Bar/Net identification model — replacing manual security-guard input and lifting trip-level adherence-capture accuracy to 95%+ • Replaced a manual, guard-dependent servicing workflow with an automated detection-to-penalty feedback loop — flagging non-adherence, routing debit workflows for missing/damaged inventory, and closing the loop on proven in-transit damage cases (e.g., tote-coupling failures) • Awarded Zepto RISE – ACES Certification for outstanding contribution and innovation within 9 months of joining Analytics — Product Management • Owned the analytics product behind a network redesign — 12-hour to 24-hour (2-trip) model for 300 trips, delivering ₹18L+/month in savings; re-planned Milkrun routes to cut lane-level cost by ~8% • Built an automated detection-to-escalation feedback loop for GPS, Cargo Net and KPI SLA breaches — routing issues to the right stakeholder and feeding resolution data back into process design — generating up to ₹10L/month in penalty recoveries • Defined product requirements for TMS-adherence and fleet-utilization dashboards tracking OTR, OTD and OTA metrics in real time, improving truck-type utilization mix by 7% • Built (via App Script) an automated lane-identification feature for network-design cutoffs, flagging 500 OD-lane combinations in month 1 and improving cutoff compliance to 98% of the base master network

Projects

• Tourism Demand Forecasting via News Data Mining

  Dec 2023 – Mar 2024

  Team Lead

  Led a Team of 6 to collect 12,000+ News Articles using Web scraping, streamlined Data collection Process  Reduced Manual efforts, Data Collection time by 90% through Automation, enhancing Process efficiency  Executed Data Preprocessing with Python, NLP, cutting data size by 40% to boost topic extraction process  Applied Topic Modeling(STM) on news data, integrating trends into SarimaX, enhancing model accuracy  Developed SarimaX, Sarima, ETS models with 72 months of historical data to forecast Tourism Demand  Outperformed Time series models by 15% on 4 metrics(MAE, MAPE), by integrating News on SarimaX Forecasted Customer demand, LTV, Retention for Cab, Hotel, Flight industries with Funnel Analytics.

  NLPSARIMAXPython

• Market Basket Analysis

  Aug 2023 – Sep 2023

  Applied Apriori algorithm on 10,000+ POS transactions to identify 19 association rules, informing inventory strategy.

  Apriori Algorithm

Side projects

• GenAI Ticket Triage & Containment Prototype

  Aug 2023 – Sep 2026

  Project Owner

  Scoped a GenAI use-case for travel post-sales customer servicing by defining success metrics upfront — containment rate, resolution time, and cost-to-serve — before writing a single line of code, mirroring real-world GenAI product-launch discipline Designed a structured classification schema (category, urgency, sentiment, escalation decision, reasoning) and built an LLM-powered triage prototype using the Claude API to auto-classify incoming customer queries in real time Built decision logic to differentiate auto-resolvable vs. human-escalation tickets based on urgency and sentiment signals — the core judgment call behind responsibly automating manual servicing workflows Instrumented a live metrics dashboard tracking containment rate, average resolution time, and estimated cost-to-serve savings (GenAI-handled vs. human-handled), making AI impact measurable rather than anecdotal Validated the prototype across sample travel-support scenarios (refunds, cancellations, cab/driver escalations), demonstrating how a scoped GenAI intervention could meaningfully cut average resolution time and cost-to-serve versus fully manual handling

  FigmaLLMGen AIMachine LearningData Analytics

Education

• Indian Institute of Management (IIM), Mumbai

  MBA, Business Administration and Management · GPA 8.3

  Jun 2023 – Mar 2025

• Sri Venkateswara University, Tirupati

  B.Tech, Computer Science & Engg. · GPA 8.25

  Aug 2019 – May 2023

Skills

Accomplishments

• 1st place, Python Coding Competition

  ₹25,000 prize

• ZEPTO ACES RISE AWARD

  Zepto

  Exceptional Performance building 5 major digital & Ops transformation programs within 1 year

Test scores

• CAT

  98.42%ile

  98.42%ile

  Nov 2022

• JEE Main 2019

  99.92%ile

  99.92%ile

  Jan 2019

• AP EAMCET 2019

  99.25%ile

  99.25%ile

  Jan 2019

Certifications

• Supply Chain Analytics · Rutgers/Coursera
• Power BI Desktop for BI · Udemy
• Product Management 101 · Udemy
• Zepto RISE – ACES Certification · Zepto