Deb RoyChowdhury, Product Manager in Brantford, ON, Canada
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Deb RoyChowdhury

Verified Expert  in Product Management

Product Manager

Brantford, ON, Canada

Toptal member since February 3, 2020

Bio

A product leader with experience building complex data products, Deb has built AI applications in eCommerce, healthcare, life sciences, public safety, and automotive industries while developing teams of experienced product managers and data professionals. He led the data product group at Jungle Scout with four reporting product managers in charge of creating data products from zero to one. Previously, Deb led data product organization at Achievers, General Motors, DataFoundryAI, and KaliberAI.

Project Highlights

Kovid Thinking Machine
Delivered a beta cognitive AI platform with speech and vision algorithms within 12 months.
Case Management for Pharma
Led the MVP prototyping of the next-generation pharmacovigilance application.

Expertise

  • Agile
  • Data Science
  • Go-to-market Plans
  • Mentorship & Coaching
  • Product Leadership
  • Product Management
  • Product Strategy
  • Roadmaps

Work Experience

Group Product Manager | Data

2021 - PRESENT
Jungle Scout
  • Delivered iterations of the data platform, data science, and estimate generation pipeline as the reporting manager of data product managers responsible for the roadmap.
  • Delivered a data platform that collects, stores, and processes petabyte-scale eCommerce data.
  • Refactored end-to-end data pipeline, generating sales and revenue estimates of about 50 million products daily.
  • Grew data as a service around a $2.5 million revenue pipeline since Q3, 2021.

Product Manager | Artificial Intelligence

2019 - 2021
General Motors
  • Owned the agile product development pipeline for the AI team, delivered at a $97 million value annually.
  • Represented the voice of thousands of internal users from internal teams to manage an informed AI backlog.
  • Piloted lean innovation experiments for the 15 connected vehicle innovation team members.
  • Delivered three AI applications by designing and prioritizing specifications, workflows, and mock-ups.

Product Lead | AI

2018 - 2019
Data Foundry AI
  • Built two proof-of-value data apps while achieving a $3 million annual revenue run rate.
  • Developed product roadmaps for three multibillion-dollar enterprise clients based on their data inventory.
  • Built business models and product strategies for three AI applications leading to a new revenue stream.

Head of Product and Data Science

2016 - 2018
Kaliber AI
  • Built the product MVP and the team leading to a five-time acquisition while reporting to the CEO.
  • Led the team to ship a predictive app running 7 million algorithms with 65% to 90% accuracy.
  • Delivered the MVP to support five enterprise customers with up to 1,000 users per client.
  • Identified gaps and led the build of an internal speech annotation web app, which led to savings of $700,000.
  • Hired, scaled, and led a team of six data scientists, ten software engineers, and 15 research consultants.

Head of Product

2014 - 2016
Tappozz
  • Built the business model and ran over 100 MVP experiments to optimize sales channels in months.
  • Designed and developed a digital storefront to showcase products, generating $100,000 in revenues in six months.
  • Defined and executed the go-to-market strategy to acquire the first 1,000 customers.

Senior Software Engineer

2011 - 2014
Allscripts Healthcare
  • Collaborated with five engineers to build the in-house big data platform with 4 TB of clinical data on a private cloud.
  • Defined and prioritized analytics product requirements with three cross-functional teams for over 50 priority customers.
  • Identified analytics reporting gaps and built an application to audit data mapping to ensure 100% data integrity.
  • Exceeded company targets by 15% by achieving MU compliance of 100%, which resulted in $3 million in extra revenue.

Project History

Kovid Thinking Machine

Delivered a beta cognitive AI platform with speech and vision algorithms within 12 months.

Kovid Thinking Machine was designed for an on-premise AI platform for regulated markets like healthcare and public safety. The platform could run speech recognition, keyword spotting, and speech emotion recognition models alongside object and activity recognition video.

Case Management for Pharma

Led the MVP prototyping of the next-generation pharmacovigilance application.

I managed a predictive pharmacovigilance case management application that uses automated data dictionary mapping and autocomplete and translation algorithms to speed up the case logging and triage process.

Education

2014 - 2015

Executive MBA Degree in Global Product Leadership

CMR University - Bangalore, India

2007 - 2011

Bachelor of Engineering Degree in Computer Science Engineering

AIEM India - Mumbai, India

Certifications

AUGUST 2022 - PRESENT

Product Leadership

Reforge

SEPTEMBER 2019 - PRESENT

Advanced Product Management

Product Faculty

FEBRUARY 2018 - PRESENT

Deep Learning Foundation

Udacity

Skills

Tools

Jira, Confluence, Slack, Zoom, Canva, Prezi, Google Docs

Paradigms

Agile Product Management, Azure DevOps, Agile, Design Thinking

Platforms

SharePoint, Google Cloud Platform (GCP)

Other

Data Product Manager, Product Management, SaaS Product Management, Machine Learning, Data Science, Lean Canvas, Jobs to be Done (JTBD), SaaS, Software Development Lifecycle (SDLC), Big Data, Product Strategy, Electronic Medical Records (EMR), Databases, Artificial Intelligence (AI), Business Models, Minimum Viable Product (MVP), Prototyping, Go-to-market Plans, Product Leadership, Roadmaps, Mentorship & Coaching, Coaching, Teams, Miro, Microsoft Office, Lucidchart, User Research, User Experience (UX), Digital Marketing Strategy, Amazon Web Services (AWS)

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