Maria Kavaliova Email & Phone Number | 15+ years of hands-on and management experience in delivering Machine Learning Solutions and data-driven Analytics for international Technology / Financial Services / Fintech Companies. From concept to production, Technical Leader and Developer of Predictive models used throughout the entire Customer lifecycle. My track record is firmly established in predictive modeling for Credit Risk (Underwriting, Account Management and Collections). I've also handled a range of models to mitigate Fraud Risk for Payments, Internal Risk for People, Marketing and Customer Analytics.

Maria Kavaliova

15+ years of hands-on and management experience in delivering Machine Learning Solutions and data-dr...
Atlanta, Atlanta, United States

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Maria Kavaliova’s Email mkavaliova@tesla.com

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Maria Kavaliova’s Location Atlanta, Atlanta, United States

Maria Kavaliova’s Current Industry Tesla Smartmob

Maria Kavaliova’s Prior Industry Kabbage | Oportun | Paypal | Citi | Приорбанк

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Staff Data Scientist

2020-07-01 00:00:00 - Present

Product Marketing, Data Science

2018-12-01 00:00:00 - Present

Director, Data Science

2020-01-01 00:00:00 - 2020-05-01 00:00:00

Principal Data Scientist, Senior Manager

2017-06-01 00:00:00 - 2019-02-01 00:00:00

Principal Data Scientist, Global Risk and Data Science

2016-02-01 00:00:00 - 2017-06-01 00:00:00

Senior Vice President, Global Modeling and Risk Analytics

2016-01-01 00:00:00 - 2016-02-01 00:00:00

Credit Risk Analyst

2008-03-01 00:00:00 - 2010-07-01 00:00:00

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Maria Kavaliova is a 15+ years of hands-on and management experience in delivering Machine Learning Solutions and data-driven Analytics for international Technology / Financial Services / Fintech Companies. From concept to production, Technical Leader and Developer of Predictive models used throughout the entire Customer lifecycle. My track record is firmly established in predictive modeling for Credit Risk (Underwriting, Account Management and Collections). I've also handled a range of models to mitigate Fraud Risk for Payments, Internal Risk for People, Marketing and Customer Analytics.