J

Jayvant Solomon

Data Scientist

Bengaluru, Karnataka, India7 yrs 7 mos experience
Highly StableAI Enabled

Key Highlights

  • 7+ years of experience in data science.
  • Expert in building predictive models and recommendation systems.
  • Proven track record with Fortune 100 companies.
Stackforce AI infers this person is a Data Scientist specializing in Fintech and Ad Tech with strong machine learning capabilities.

Contact

Skills

Core Skills

Machine LearningPredictive ModelingStatistical ModelingAd Tech

Other Skills

A/B TestingBaggingCatboostClassificationCluster AnalysisConvolutional Neural Networks (CNN)CryptocurrencyDecision-MakingDeep LearningDesign of Experiments (DOE)Excel DashboardsExploratory Data AnalysisFinTechGradient BoostingInformation Technology

About

Data scientist with Masters in AI ML, carrying 7+ years of experience in retail, information technology and on-demand multi-service platform domain. Seeking to transform business problems through data backed solutions and institutionalize data driven decision making. Have helped fortune 100 companies solve different problems in: 1. Building and deploying Ads Bidding architecture for conducting first or second price auction in real time 2. User personalised recommendation engine for showing Ads 3. Collaborating with product managers, engineers and designers to design multiple experiments around product launch, feature enhancements etc 4. Predictive modelling of cycle time for a case management process 5. Customer Segmentation 6. Test and Control experiment design for online campaign with product recommendations and audience selection 7. Multiple Consumer insights projects, while leveraging design principles and extensively collaborating with business users to cater to business needs Roles & Responsibilities: 1. Develop, deploy and monitor model in post production scenarios to increase reliability in predictions 2. Lead the team in driving end to end completion and consumption of the project 3. Collaborate with product,business and engineers to understand the user needs and build revenue generating data science/ ML products Key Skills: Technical: SQL, Python, Azure Databricks, Azure ML, Celonis, BQ Statistical/ML techniques: Prediction modelling techniques(Linear, logistics, bagging, boosting..etc algorithms), Deep learning (CNN, RNN and LSTM), clustering and segmentation techniques, Time series forecasting, A/B testing and bayesians bandits, market basket analysis etc..

Experience

Paypal

Senior Data Scientist

Sep 2023Present · 2 yrs 6 mos

  • Drove customer growth through referrals: Led PayPal’s referral program across multiple countries, launching new products and designing acquisition campaigns that scaled customer growth.
  • Enabled data-driven marketing decisions: Partnered with marketing analytics to design and execute acquisition and retention campaigns end-to-end—covering customer sizing, campaign design, execution, and impact measurement—while building Tableau and Looker dashboards for real-time monitoring.
  • Accelerated innovation in crypto products: Supported PMs and engineering teams by designing experiments, analyzing outcomes, and clustering crypto customers into actionable personas, enabling targeted campaigns, successful feature launches, and leadership decisions powered by a 360° product performance dashboard
Python (Programming Language)Predictive ModelingMachine Learning AlgorithmsMachine LearningA/B TestingStatistical Modeling+2

Gojek

Data Scientist

Sep 2021Sep 2023 · 2 yrs · Bengaluru, Karnataka, India

  • Ads & promotion platform
  • 1. Building and deploying Ads Bidding architecture for conducting first or second price auction in real time
  • 2. User personalised recommendation engine for showing Ads
  • 3. Collaborating with product managers, engineers and designers to design multiple experiments around product launch, feature enhancements etc
CatboostMachine Learning AlgorithmsDesign of Experiments (DOE)A/B TestingBaggingGradient Boosting+3

Mu sigma inc.

Decision Scientist

Aug 2018Sep 2021 · 3 yrs 1 mo · Bangalore Area, India

  • Cycle time prediction of a case management process:
  • Delivered E2E pipelines of 3 dynamic machine learning models for prediction of cycle time of an IT incident, creating an global impact of 10% reduction in cycle time of a case management process
  • The trained models were built using gradient boosting ensemble trees and were packaged with data transformation pipelinescoupled with utilities for model performance monitoring and weredeployed in celonis ML workbench
  • Customer Segmentation:
  • Performed customer segmentation and persona building exerciseto enrich the understanding of existing customers, leading to a 8% increase in the retention rate and an estimated impact of ~$1M
  • Test- Control Design and Forecasting:
  • Designed and E2E test and control experiment for retail storeswith an outcome of increasing sales from women customers,leading to 13% increase in women customers and ~$500k increase in sales across all stores
Machine Learning AlgorithmsMachine Learning

Education

Birla Institute of Technology and Science, Pilani

Master of Technology - MTech — Artificial Intelligence & Machine Learning

Apr 2024May 2026

Visvesvaraya Technological University

Bachelor of Engineering (B.E.) — Electrical and Electronics Engineering

Jan 2014Jan 2018

St. Xavier's School

Secondary school

Jan 2000Jan 2013

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