Sanjay Agrawal

CEO

Bengaluru, Karnataka, India13 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 13 years of experience in Data Science leadership.
  • Expert in developing predictive solutions for diverse business challenges.
  • Passionate about leveraging intelligent machines for customer experience.
Stackforce AI infers this person is a Data Science leader in the Gaming and E-commerce industries.

Contact

Skills

Core Skills

Data ScienceMlopsUser RetentionRevenue OptimizationUser Behavior AnalysisRecommendation SystemsPredictive AnalyticsBooking OptimizationCustomer TargetingUser ProfilingRisk Assessment

Other Skills

A/B Test FrameworkA/B TestingAlgorithmsBig DataCODClassification ModelsComputer Science EducationCustomer RetentionData AIData AnalysisData AnalyticsData MiningData ModelingData as a Service (DaaS)Deep Learning

About

Experienced Data Science leader with 13+ years of proven expertise in developing predictive solutions across diverse business challenges, including user intent prediction from omni-channel data, recommendation systems, A/B Test Experimentations Frameworks, Retention Improvement and Offer Optimization. Currently driving intelligent data solutions to enhance revenue and retention for acquired players by delivering targeted treatments and accelerating A/B experimentation through innovative, scientific methods. Passionate about leveraging intelligent machines to improve customer experience, optimize business metrics, and enable sustainable data science operations at scale.

Experience

Games24x7

3 roles

Director Data Science

Promoted

Apr 2023Present · 2 yrs 11 mos

  • Leading Data Science efforts to provide hyper-personalized experience on RummyCircle. Team is responsible to optimize add cash journey, withdrawal journey, game play choices, add cash and retention offers, player matching on game tables.
  • Leading A/B Test framework to design, conduct and conclude the experiments at scale.
  • Leading MLOps efforts to deploy and maintain the ML solutions at scale. Efforts are targeted to integrate with a framework where deployment, maintenance and tracking of ML models becomes seamless/effortless for a data scientist.
MLOpsA/B Test FrameworkData Science

Associate Director Data Science

Promoted

Apr 2021Mar 2023 · 1 yr 11 mos

  • Led efforts to optimize Add Cash Journey of the users. This solution helped increase revenue across all user cohorts. This solution also helped us improve click though rate on tiles shown during add cash journey.
  • Led efforts to optimize loyalty program for the users by providing personalizing add cash bonus. This solution helped increasing retention of high value players and also improve the deposits.
Loyalty ProgramsRevenue OptimizationUser Retention

Lead Data Scientist

Dec 2019Mar 2021 · 1 yr 3 mos

  • Led efforts to optimize Game Entry-Fee and Game Type Choices of the users. This solution helped increase revenue. For Risky and Probable Churn user cohorts, this solution helped us in improving the Retention.
  • Led efforts to build post convert User Journey which would help us understand longitudinal user behaviour.
Revenue OptimizationUser Behavior Analysis

Walmart global tech

Senior Data Scientist

Jun 2018Dec 2019 · 1 yr 6 mos

  • Smart Substitutions: Contributed in the development of recommendation solution for personized substitutions in case of post order OOS items for Online Grocery.
  • Buy Together Value: Part of efforts to develop bundle recommendations on item page for General Merchandize.
Recommendation SystemsData Analysis

Fractal

Senior Data Scientist

Jun 2017Jun 2018 · 1 yr

  • CLIENT 1: Helped a major Transportation Company in advance maintenance of train parts by prediction of rare severe events in train assets.
  • CLIENT 2: Sales and demand forecasting for next few weeks using history data and promotion data for different products.
Predictive AnalyticsSales Forecasting

Easyrail

Co-Founder

Jan 2017May 2017 · 4 mos

  • Show most optimal booking options to travel with confirm ticket, notify user with PNR updates and live train running status.
  • Integrated our solution with another ticketing solution named BookMyTrain and launched Cash-on-Delivery of train tickets on IRCTC.
  • Link : https://yourstory.com/2017/06/startup-bookmytrain
Booking OptimizationUser Notification Systems

[24]7.ai india

Data Scientist

Jul 2013Dec 2016 · 3 yrs 5 mos

  • Developed In-session Customer Targeting Model to identify potential purchaser visiting an e-commerce website and provide most appropriate intervention (chat, discounts and recommendations) to drive higher conversions.
  • Worked on User Profile to build a framework that will tie the data about an user using multiple link properties (email, visitor-id etc.) across multiple channels (web, chat, IVR etc.) and generate insights about the user.
Customer TargetingUser Profiling

Epfl

Research Assistant Intern

Mar 2013Jun 2013 · 3 mos

  • Worked on Recommendation System based on Topic Profile Collaborative Filtering to recommend appropriate product based on user preferences. Also, worked on Reviews and Opinion Mining to develop a system that can analyse the reviews posted by users, and extract different categories and features of the product.
Recommendation SystemsOpinion Mining

Global analytics

Research Analyst

Jun 2012Feb 2013 · 8 mos · Greater Chennai Area

  • Developed Classification Model to identify high risk customers. This model used in backend in Loan Approval Process.
Classification ModelsRisk Assessment

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Computer Science and Engineering

Jan 2008Jan 2012

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