Leverage on Machine Learning for Customer Retention!

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Our venue is close to Norreport St. It is the old KU Law School, which is right across the street from Vor Frue church at Noerregade 8. Our room will be 101 and 106. The stairs to the first floor are to the right, and once on the first floor, walk straight into room 106.
Call 2247-5196 if you get lost or cannot get in. See you later! :)

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We have two great speakers - and they are excited to share their expertise! Come to learn and meet new people in cosy and warm atmosphere :)

FIRST TALK:
Our first speaker is Shihan Du. She has a PhD in applied econometrics, recently graduated from Copenhagen Business School, and is now working as a part-time researcher at China-Europe Productivity Center.

Shihan's presentation is about advanced regression frameworks on decomposition techniques to analyze reasons for customer retention. Shihan will show one of her PhD projects - the Oaxaca-Blinder decomposition and decomposition based on conditional quantiles(non-linear), performed on individual-level data from Statistic Denmark. Principal component analysis (PCA) will also be briefly discussed at the end of the presentation.

SECOND TALK:
Our second speaker is Peer Christensen, who has a backround in linguistics and cognitive science. While working towards a PhD, he became interested in pursuing a career as a data scientist and spent much time learning R and Python. Peer recently started working at Saxo.com where he finds new ways of leveraging customer and product data to create insights.

Predicting customer churn is a special case of binary classification, where standard measures of predictive accuracy are misleading when true positive predictions (churn = yes) are more important than true negatives (churn = no).

Peer will show some of his ongoing work using R and the H2O autoML framework to train and evaluate multiple models in terms of their usefulness in a real-world use case.

SAVE THE DATE!:
When: December 5
Time: 17:30 - 19:30
Where: Niels Brock
Bispetorvet 3
1167 Copenhagen

See you all soon!

Regards,
RLadies CPH
Ivana, Shihan, Peer, Sharon