Shrey Chaturvedi

Product Manager

Hyderabad, Telangana, India12 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led AI-first customer conversation platform development.
  • Improved ASR metrics significantly for voice search.
  • Developed advanced speech models for Indian languages.
Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions within the SaaS and E-commerce sectors.

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Skills

Core Skills

Product ManagementProduct StrategyProduct Development

Other Skills

AIASRAgileAnalyticsAndroidArtificial IntelligenceBotsBusiness DevelopmentBusiness ModelingBusiness PlanningCChatbot DevelopmentCloud ServicesCommunicationCompetitive Analysis

About

Experienced Product Manager with a demonstrated history of working in the computer software industry. Skilled in Product Development, Product marketing, Program Management, Artificial intelligence, Bots, Microsoft Office, Corporate Finance. Strong product and program management professional with a MBA from Indian Institute of Management, Calcutta.

Experience

12 yrs 10 mos
Total Experience
2 yrs 6 mos
Average Tenure
5 yrs
Current Experience

Google

Senior Product Manager

Jun 2021Present · 5 yrs · Hyderabad, Telangana, India · Hybrid

  • Voice Analytics Platform
  • ● Collaborating with multiple Google businesses to build AI first Customer conversations platform for Sales and support related needs
  • ● Leveraging LLMs to bring productivity, increase revenue and generate business insights on millions of conversations
  • ● Launched the platform for non technical users to leverage LLMs to create their own models and get insights on their conversational data
  • ML & Data Analytics Platform
  • ● Launched the timeseries analytics platform which analyzes millions of conversations to generate analytical like threshold breach, anomalies and others on metrics defined by businesses
  • ● Created the platform to measure the performance of ML models quality metrics to alert owners of models of improvement
  • ● Launched multiple ML capabilities in the conversational space like Summarization, Taxonomy, Clustering, topics, sentiment and others
  • Insights Central Product
  • ● Created roadmap for user facing centralized greenfield product to share Analytics & Insights to make strategic decisions
  • ● Launched the Home page experience to get Insights out of the box experience to the users
  • ● Launched the Explorer Capability for users to do natural language query on data. This will help them get SQL query and output of query in form of data visualization and tables
Product DiscoverySearchPersonalizationObjectives and Key Results (OKRs)Product ManagementProduct Strategy

Flipkart

2 roles

Senior Product Manager

Feb 2021Jun 2021 · 4 mos

Product DiscoverySearchProduct Management

Product Manager II

Dec 2019Feb 2021 · 1 yr 2 mos

  • Voice Search
  • ● Launched Voice Search on Flipkart which led to an​ ​improvement in platform search usage
  • ● Improved the WER of ASR for Voice Search​. Defined KER metrics for ASR and improved it
  • ● Collaborated with Search Team on reducing the Search Pain of Voice Search Queries
  • Conversational Voice Assistant
  • ● Launched the V1 of Voice first Conversational Discovery Assistant for all stores in Lifestyle
  • ● Conducted the Primary User Research for Assistant to identify key user problems to prioritize and solutioning from Product
  • ● Identified the key areas of improvement in Onboarding for Assistant and worked with Design team to solution for it
  • ASR/NLP/TTS Platforms
  • ● Created roadmap for ASR and Improved labelling, measurement techniques for ASR model which ​led to improving WER
  • ● Created the Sampling strategy to identify queries for transcription which will impact most in ASR improvement for Hinglish
  • ● Developed and Launched in-house TTS model for Hinglish by improving the ​CMOS score
  • ● Defined the recording strategy, measurement and Quality enhancement in the model which helped in productizing TTS
  • ● Developed the in-house NLP model for Hinglish in platform manner which is used by multiple teams across Flipkart
  • ● Improved the NLP F-1 score by defining the labelling guidelines and creating tool for labelling
  • ● Managed Operations team​ to improve the Data Science model and analyzing the live logs received on products
Product DiscoverySearchProduct Management

Microsoft

Product Manager II

Apr 2017Dec 2019 · 2 yrs 8 mos · Hyderabad, Telangana, India

  • Working on Speech for Indian Languages
  • Improving the current Speech Recognition and Text to Speech models for English and Hindi; Developing the SR and TTS for other regional languages
  • Managing relationships with various partners and developing customized endpoints for Speech Recognition with goals to reduce Word Error Rate
  • Managing vendors for data transcriptions and Language Experts for training the models
  • Initiated the Call Log Analytics product solution for partners
  • Worked on Ruuh, Social Chatbot of Microsoft
  • Developed in depth topic discussion on 2 domains
  • Administered IQ capabilities for the chatbot
  • Handled a monitoring team of 6 to monitor the live logs
  • Handled end-to-end plan of BTL Marketing for user acquisition
  • Initiated the Referral program for in-chat users; Achieved 20 times more users from the users targeted with cost reduction by 50%
Product DiscoveryProduct Management

Snapdeal

Summer Intern, Product Management

Apr 2016Jun 2016 · 2 mos · Gurgaon, India

Indian institute of management, calcutta

Student

Jun 2015Mar 2017 · 1 yr 9 mos

  • Placement Prep Head | Infra Head of Cultural Fest| Events Head of Systems Consulting Club
  •  National Finalist (Top 8 teams) across 14 B-schools in innovative strategy challenge of HUL Enterprises, 2016
  •  National Finalist (Top 20 teams) amongst 1000+ registered teams in Financial Inclusion Challenge of DBS, 2016
  •  Campus Winner of IIM Calcutta in the RBI Policy Challenge on Demographic Profile of India, 2016
  •  Campus Runners-up in HUL LIME for innovation strategy for Arvind Eye Care to reach its target audience
  •  Campus Runners-up in marketing challenge of Marico Oats; Re-segmented audience to improve focus of brand
  •  Campus Runners-up in TATA Steelathon; Campus Finalist in Johnson & Johnson Quest competition, 2016

Lg soft india

Software Engineer

Jun 2013May 2015 · 1 yr 11 mos

Education

Indian Institute of Management, Calcutta

PGDM — MBA

Jan 2015Jan 2017

Indian Institute of Technology (Indian School of Mines), Dhanbad

B.Tech — Electronics and Communication Engineering

Jan 2009Jan 2013

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