Konrad Banachewicz

Konrad is a data scientist with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency in credit risk. He slowly moved from classic statistics towards ML and into the business world. Konrad worked in a variety of financial institutions on an array of data problems and visited all the stages of a data product cycle - from translating business requirements (“what do they really need”), through data acquisition (“spreadsheets? Really?”), wrangling, modeling and testing (the fun part), all the way to presenting the results to people allergic to mathematical terminology (majority of business). He has visited different ends of the frequency spectrum in finance (from high frequency trading to credit risk), predicted potato prices, analyzed anomalies in industrial equipment and optimizer recommendations. He is currently a Principal Data Scientist at IKEA Digital. As a person who himself stood on the shoulders of giants, Konrad believes in sharing the knowledge with others: it is very important to know how to approach practical problems with data science methods, but also how not to do it. In his spare time he is active on Kaggle and trains Krav Maga.