OUR SPEAKERS

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I am a Senior Data Scientist at Bolt, leading European mobility platform. My current focus is on commerce topics where I apply models and algorithms to reduce fraud and optimise payments. I'm active in Data Science community in Estonia (organising and speaking at conferences and meetups). I am passionate not only about Data Science, but also about engaging more people into tech industry (organizing Tallinn Django Girls workshop, speaking at events and camps for school kids about career in IT, etc).

Elizaveta

Senior Data Scientist
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English, Russian
Languages:
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Location:
Tallinn, Estonia
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Can also give an online talk/webinar
Paid only. Contact speaker for pricing!

MY TALKS

How to succeed with ML against fraud

Data / AI / ML

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Applying data science to predict fraud becomes an industry standard. But machine learning in fraud has its own specifics compared to other domains: highly imbalanced data, different cost of false positives and false negatives, interaction of ML models with the whole fraud system, etc. In my talk, I will share what to do with such caveats: how to choose the correct metric for model training based on business problems, how to improve models with undersampling methods, what to do in case of real-time fraud detection systems. Also, I will talk about an important business part: how to measure impact of ML models and why sometimes you need to let fraudsters in.

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How to succeed with ML against fraud

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