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Vladimir Mikhnovich has over 10 years of experience in data science, fraud prevention, and customer success management. In 2021, they began working as a Technical Customer Success Manager at RapidMiner. In 2020, they were a Lecturer at the Estonian Business School. In 2019, they worked as a Data Scientist and Credit Risk Underwriter at Inbank AS. In 2018, they were the Founder and Fraud Researcher at What The Fraud, as well as a Freelance Consultant. In 2017, they were a Data Scientist and Senior Fraud Analyst at Friendly Finance Group. In 2016, they were the Head of Fraud Department at Adcash. From 2012 to 2016, they worked at Yandex.Money as a Data Science Consultant and Head of Fraud Analytics. From 2010 to 2012, they worked at VimpelCom as a Service Quality Analyst and Head of Planning and Development Department. In 2022, they will become the Founder and CEO of Trading Strategies, developing algorithmic trading strategies and systems.

Vladimir Mikhnovich has a diverse educational background. Vladimir obtained their Executive MBA from Quantic School of Business and Technology from 2021 to 2023. Prior to that, they earned a Master of Science in Expert Systems from Bauman Moscow State Technical University from 1992 to 1998. Vladimir also attended Moscow State Linguistic University from 2000 to 2002. Additionally, they have obtained several certifications, including a Cryptocurrency Tracing Certified Examiner (CTCE) from CipherTrace in August 2021, RapidMiner Applications & Use Cases Master and RapidMiner Data Science Solutions Professional from RapidMiner in August 2021, Salesforce Essential Training from LinkedIn in August 2021, Bitcoin and Cryptocurrency Technologies from Coursera in June 2021, Customer Success Management Fundamentals from LinkedIn in June 2021, Forensic Accounting and Fraud Examination from Coursera in June 2021, Blockchain Basics, Blockchain: Beyond the Basics, Cryptocurrency Foundations, OSINT Essential Training, and Securing Cryptocurrencies from LinkedIn in May 2021, Data Ethics: Managing Your Private Customer Data from LinkedIn in April 2021, and Investment Foundations® from CFA Institute in April 2021. Vladimir also has several certifications from DataCamp, including Introduction to Portfolio Analysis in Python, Introduction to Portfolio Risk Management in Python, Machine Learning for Finance in Python, Quantitative Risk Management in Python, Time Series with Python, and Extreme Gradient Boosting with XGBoost, which they obtained in 2020 and 2019.