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Nikita Pustovoitov
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Empower your business with Data Science
Have been developing projects in the field of Data Science/Machine Learning/Data Mining/Artificial Intelligence for over 15 years.
Have an experience over 10 years of leading startups, working on CEO/CEO-1 level in startup and CEO-2/CEO-1 level in corporations and over 6 years in data-driven consulting.
Was Kaggle Top300 member and won 7 medals without merging with other competitors in less than a year. Have successfully used various algorithms (including deep learning, reinforcement learning, NLP approaches and recommending algorithms) to solve problems for various domains including but not limited to financial, ecommerce, retail, FMCG, heavy and light industries and medicine.
In 2020-2021 launched a startup on the AI/ML market as vendor of predictive models and solutions for marketing with 8/Top-25 in finance, 2/Top-5 in retail and 1/Top-5 insurance companies in Russia as customers.
Have an experience over 10 years of leading startups, working on CEO/CEO-1 level in startup and CEO-2/CEO-1 level in corporations and over 6 years in data-driven consulting.
Was Kaggle Top300 member and won 7 medals without merging with other competitors in less than a year. Have successfully used various algorithms (including deep learning, reinforcement learning, NLP approaches and recommending algorithms) to solve problems for various domains including but not limited to financial, ecommerce, retail, FMCG, heavy and light industries and medicine.
In 2020-2021 launched a startup on the AI/ML market as vendor of predictive models and solutions for marketing with 8/Top-25 in finance, 2/Top-5 in retail and 1/Top-5 insurance companies in Russia as customers.
In this session, you’ll learn about:
Typical problems in connecting Data Science with business, and how to solve them
How to apply Data Science to real world business: DS cases for clients on every stage of the funnel
How to measure effects from Data Science applied to your business
In this session, you’ll learn about:
Typical problems in connecting Data Science with business, and how to solve them
How to apply Data Science to real world business: DS cases for clients on every stage of the funnel
How to measure effects from Data Science applied to your business
