Palash Tatte
AVP - Applied Sciences and Ml @Dream11
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WORK HISTORY
AVP - Applied Sciences and Ml @Dream11
Mumbai, IN
Co-leading the Applied Sciences and ML vertical to drive the AI strategy for Dream11. Key responsibilities include: Manage team of seniors, leads and directors to build and deploy intelligent systems across various business domains- Giveaways – Systems to manage user discounts and hyper-personalised communications for 200Mn+ users- Demand Forecasting – Systems to predict the demand of matches hosted by the minute, day, week, etc, and then optimise by offering appropriate and personalised products to users- Measurement Sciences – Solutions and platforms to measure the causal impact of interventions using observational causal inference tools, A/B testing frameworks and econometric modeling- Payments – personalizing and optimizing the deposit flow to ensure a smooth andsuccessful user experience and users\' trust on the wallet Work with Columbia-Dream Sports AI Innovation Center (https://sportsai.engineering.columbia.edu/content/about-us) to drive innovation across the Product Collaborate with Data and AI Platform teams to build ML, data, experimentation platforms. Also, to drive internal operational efficiencies via ML based tools exposed to business stakeholders Collaborate with Engineering on frameworks to serve ML models to various app touchpoints ensuring high throughput and low latency Work with Product counterparts to build ML features to move key user and business metrics
EDUCATION
Indian Statistical Institute, Kolkata
Post Graduate Diploma in Business Analytics, Mathematical Statistics and Probability
Indian Institute of Technology, Kharagpur
Post Graduate Diploma in Business Analytics, Machine Learning
Indian Institute of Management, Calcutta
Post Graduate Diploma in Business Analytics, Business Administration and Management, General
Indian Institute of Technology, Delhi
Bachelor of Technology (BTech), Production and Industrial Engineering
SKILLS
ABOUT PALASH TATTE
All things Data Science and ML systems in SportsTech space.
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