Jayvant Solomon

Background

About Jayvant Solomon

Data scientist with 5 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.