Who am I

Hi, I am an author of fraud research blog, a skilled fraud and risk expert with 9 years of experience in designing, maintaining and putting into production machine learning antifraud systems in the domains of e-commerce, payments, web traffic, consumer finance and banking / credit products.

My background includes roles such as head of analytics / fraud manager / data scientist at:

  • Yandex.Money (Russia) – online payment solutions and e-commerce
  • AdCash (Estonia) – digital advertising
  • Friendly Finance / 4Finance (Estonia/Latvia) – consumer lending
  • Aasa Global (Estonia/Finland) – consumer and business lending
  • Inbank (Estonia) – consumer finance and banking

I consult about how to use analytics, data science and machine learning for business. I am certified RapidMiner analyst and ambassador, able to help you to solve your business problems by applying state of the art techniques and tools to extract value from your data and building reliable predictive machine learning models.

I also do research and consulting in the domain of finance and consumer fraud detection and prevention. Currently I am doing a research in area of blockchain forensics and crypto scam schemes investigations.

Aside of that, I am a lecturer in Estonian Business School, where I develop and teach courses for Executive MBA nanodegrees: data management, data science / machine learning for business, emerging technologies and others.

See links at the bottom of the page where you can find my CV and portfolio of public presentations.