Technical PM · Data Infrastructure · Analytics · ML Platforms

Urvash
Chheda

I build the data infrastructure and analytics products that companies run on — from warehouse architecture and ML pipelines to API-first platforms that generate measurable revenue.

$3.2M
Incremental Revenue — Paid Performance Analytics
45%
Increase in Platform Analytics Adoption
60%
Reduction in Ad-Hoc Reporting Effort
7+
Years Shipping Data Products at Scale

Domain focus

Data Infrastructure ML Platforms API-First Analytics Governance 0-to-1 M&A Integration
Data
01

Philosophy

How I think

Data products are only as good as the decisions they enable.

I'm a Technical Product Manager with a Computer Science degree and a builder's instinct — which means I don't just work alongside data and engineering teams, I speak their language fluently. I've owned product roadmaps for warehouse re-architecture, streaming pipelines, semantic layers, data governance, and ML deployment infrastructure. When I write a spec, I've already stress-tested the technical assumptions behind it.

"A great data product doesn't show users more data. It eliminates the questions they shouldn't have to ask."

My career spans founding PM at a pre-product SaaS startup, managing 10+ M&A integrations across $80M+ ARR at a global software company, and currently leading data platform strategy at Mavrck — where I operate at the intersection of three teams: Analytics & Reporting Engineering, Data Engineering, and Internal Data Analysts. Owning data products end-to-end — from infrastructure to insight — is where I'm most at home. Every context has been different. The rigor has been the same.

I hold an M.S. in Information Systems from the University of Maryland's Robert H. Smith School of Business and a B.Tech in Computer Science from NMIMS, India. I'm certified in AI for Product Management, Scrum Product Ownership, and Digital Product Management. My fluency spans the full stack of data work — from warehouse architecture and pipeline design to BI tooling, ML deployment, and stakeholder alignment. I move between an engineering design doc and an executive business review without losing the thread in either direction.

02

Selected Work

Four problems, four different contexts. Each one required shipping something technically complex under real constraints — and leaving a measurable mark.

W-01
Paid Performance Analytics on Meta & TikTok APIs
Mavrck · 2023
Built Paid Performance Analytics from the ground up by integrating Meta Marketing APIs and TikTok APIs into the platform's insights layer. Enabled secure brand connections, real-time ad performance tracking, and ROI visibility for influencer-driven campaigns — unlocking a revenue stream that hadn't previously existed on the platform.
Outcomes
Tracking 3,000+ ads supporting $2M+ in ad spend
Generated $3.2M in incremental revenue
Secure brand connections delivered across major social platforms
W-02
Enterprise Data Platform Transformation — 9 Initiatives
Mavrck · Data Ops · 2025–Present
Owned the roadmap for a nine-initiative enterprise data overhaul: warehouse re-architecture, data governance, streaming pipelines, centralized KPI dashboards, and a semantic layer. Bridged Data Engineering, Platform, Finance, Legal, and Product stakeholders — driving full compliance and zero disruption to live product.
Outcomes
100% GDPR & CCPA audit pass rate
Access request cycle times reduced by 50%
Ad-hoc reporting effort cut 60% via centralized KPI dashboards
W-03
Analytics Platform MVP — Launched in Under 3 Months
Bushel, Inc. · 2021
Inherited a blank canvas: no analytics product, no roadmap, no data strategy. Ran discovery with agribusiness operators, defined the vision, led a team of 3 Data Engineers and 2 Data Scientists through 25+ core features, and launched MVP in under 3 months. Also drove the enterprise data warehouse migration to GCP — completed in under a day.
Outcomes
MVP from zero to live in under 3 months
GCP migration reduced downtime by 75%
Automated KPI dashboards improved sales revenue by 8%
Eliminated 60% data duplication across product suites
W-04
0-to-1 SaaS Platform — Global Launch & 100% YoY Growth
MyCrop Technologies · 2016–2018
First product hire at an agtech startup with no product, process, or roadmap. Owned end-to-end product strategy, drove global launch, led cross-functional teams through MVP delivery and stakeholder alignment — scaling the platform to 2,000+ users with 100% year-over-year growth in the first year post-launch.
Outcomes
100% YoY growth post-launch
Scaled to 2,000+ global users
Built product culture, process, and operational foundation from scratch
03

Experience

Feb 2023 –
Present
Senior Product Manager
Mavrck, LLC (rebranded to Later)
Leading data product strategy across three teams — Analytics & Reporting Engineering, Data Engineering, and Internal Data Analysts — owning the full lifecycle from infrastructure to insight. Driving enterprise-wide data platform transformation, ML deployment centralization, and revenue-generating analytics products.
ML Platforms Meta APIs TikTok APIs Data Governance Warehouse Architecture Streaming Semantic Layer KPI Dashboards GDPR/CCPA AWS
Jun 2021 –
Dec 2022
Product Manager, Data Analytics
Bushel, Inc.
Defined and launched a new analytics platform from zero. Led enterprise data warehouse migration to GCP, established data strategy, and drove standardized metrics across the product suite.
GCP Data Warehouse ETL 0-to-1 AgTech AWS
Feb 2020 –
Jun 2021
Associate PM, M&A Integrations
Aptean, Inc.
Managed software data integrations for 10+ acquisitions across 30+ product lines, driving $80M+ ARR. Built scalable acquisition intelligence using data models, Salesforce APIs, ETL pipelines, and analytics tooling.
M&A Integration Salesforce APIs ETL Pipelines Data Modeling Global SaaS
Jun 2016 –
Jul 2018
Founding Product Manager
MyCrop Technologies Pvt. Ltd.
First product hire at an early-stage agtech startup. Owned end-to-end product strategy from zero — roadmap definition, MVP delivery, global launch, and platform scaling.
0-to-1 Founding PM SaaS Global Launch
04

Technical Stack

Languages & Query
SQL / BigQuery SQL
Python
JavaScript (ES6)
Infrastructure & Cloud
AWS
Google Cloud Platform
DataDog
ETL Pipelines
Streaming Infrastructure
Analytics & BI
Amplitude · Pendo
Tableau · PowerBI · Sisense
Mode · Redash · Omni
Google Analytics
Product & Workflow
JIRA · Linear
Figma · Lucidchart · Visio
Salesforce APIs
Smartsheet
05

Expertise

Data Infrastructure & Architecture
Hands-on experience driving warehouse re-architecture, semantic layers, streaming pipelines, and data governance frameworks — from strategy definition through production delivery.
ML Platform Productization
Centralized ML deployments and built the infrastructure layer for platform-wide model integration — reducing cloud spend and accelerating model delivery cycles across teams.
API-First Analytics Products
Built revenue-generating analytics products on Meta, TikTok, and internal APIs — including paid performance, earned media value, reporting infrastructure, and monitoring.
0-to-1 Data Product Launches
Taken multiple data products from blank canvas to shipped MVP — defining strategy, owning discovery, leading cross-functional technical teams, and validating adoption at scale.
Data Governance & Compliance
Designed and delivered governance frameworks for GDPR/CCPA compliance, access control, and standardized KPI definitions — achieving 100% audit pass rates in regulated environments.
M&A Data Integration
Managed data integrations across 10+ acquisitions at a global SaaS organization — including ETL pipelines, data custody, scalable acquisition intelligence, and cross-platform analytics alignment.
06

Education & Credentials

2019
M.S. Information Systems
University of Maryland · Robert H. Smith School of Business · USA
2016
B.Tech Computer Science
NMIMS · India
Certifications
AI for Product Management — Pendo
Certified Scrum Product Owner (CSPO®) — Scrum Alliance
Digital Product Management: Modern Fundamentals — Coursera

Ideas worth
discussing.

I enjoy conversations with founders, operators, and product leaders working on hard data and infrastructure problems. If something here resonated — or you're navigating a data platform, analytics, or ML productization challenge — reach out.