Data Science Meetup by RecdoTech

Please make sure to secure your seat by ordering a free ticket online via Eventbrite here: https://www.darwinrecruitment.com/events/a-data-science-meetup

Darwin Recruitment and RecDoTech proudly present the Darwin Data World Tour.

Since our first meetup in Berlin in September 2017, RecDoTech has hosted IT professionals at 15 different meetup’s across two continents, with fascinating talks by Data professionals from top business in Europe and USA.

Data Science Meetup is returning to Copenhagen this September! We are bringing the top speakers you have come to expect, plus plenty of refreshments and a fantastic prize draw.

Speakers

Gopal Karemore - Principal Data Scientist at Novo Nordisk
AI In Healthcare & Pharmaceutical Indsutry - This presentation will go into detail about how AI is changing healthcare and drug discovery research, also giving an overview of some of the challenges in the field of pharmaceutical informatics and how to begin a career as a Data Scientist in the Healthcare and Pharmaceutical industry. Gopal received his PhD in 2011 and since has worked in both Copenhagen and Spain in the Healthcare and Pharmaceutical industries.

Kim Falk Jørgensen - Senior Data Scientist at LiveIntent
Recommender System And The Information Overload Problem - Kim Falk is a Senior Data Scientist at LiveIntent and author of the book Practical Recommender Systems, and his talk will go into detail about how Recommender System is helping to solve the information overload problem. Moreover, go into some detail on how applying recommender systems in practice. Recommender Systems has great potential, in almost every sector, but it is not a silver bullet. In this talk, he will look at a general overview of recommender systems and touch upon some promises, and some obstacles.

Philip Jarnus - Senior Data Scientist at Danske Bank
Machine Learning With A Human Touch: Providing a Better Customer Experience - Banking products are often tied to major life decisions - in order to provide a good customer experience, it is vital to understand the individual customer's life journey. Whether buying a home, planning for retirement or looking into investments, the customer's decision process takes months or even years. The right time for contacting a customer, however, remains short. We will dive into how machine learning helps Danske Bank provide a better customer experience and look at the challenges and how we try to improve our understanding of customer behaviour.