[Viennar-meetup] Vienna<-R 2020 April

[Florian Schwendinger]

Dear ViennaR members,

Dienstag, 21. April 2020 18:30 bis 20:00 MESZ

Online event

Due to COVID-19 we offer our first online Meetup through Zoom and Youtube
streaming.

Youtube streaming: https://youtu.be/3r9C7XBrp6U
Zoom: https://zoom.us/j/406260864

The Meetup is hosted together with Accenture Austria and two exciting
speakers and topics.

TOPICS

1. Dr. Wasif Masood, Magenta Telekom - Data Science Lead: Smart Churn
Retention. (30min+Q/A)
LinkedIn: https://www.linkedin.com/in/wasifmasood

2. Felix Glaser, Accenture - Data Scientist: Anomality Detection – an End
To End Process with various R tools and packages (30min+Q/A)
LinkedIn: https://www.linkedin.com/in/felix-glaser-a81325158

DETAILS

1. Dr. Masood describes one of Magenta's use cases built to reduce customer
churn. He will explain the neural network model developed along with the
baysian optimization that runs on top to find the best hyper-parameters.
Additionally, the concept of shaply values is explained which was used to
identify the reasons for churn.
After finishing his PhD in information technology, Dr. Masood joined
Magenta Telekom as a data scientist in 2017 and now heads the team as lead
data scientist. His interests includes deep neural networks, ensemble trees
and baysian optimization techniques. During his employment, he has worked
on several use cases including network quality estimation, customer churn
and retention, house hold matching, customer lifetime value, propensity
modelling for x/up-selling, price to demand analysis, portfolio
optimization and many more.

2. Data Anomalies are a hot topic for many clients spread over all
industries. Detecting them is a hot topic for data scientists. As it often
comes to the question “What are we actually looking for?”, a first step is
towards unsupervised learning.
With mathematical methods like Robust Principle Component Analysis we
managed to distinguish anomalies from “usual” data points. Furthermore the
detection tool was integrated in a webservice also built with R packages
and was lifted into production.
Felix is working for Accenture since 2018 as a Data Scientist. During his
mathematics studies he specialized on forecasting, time series analysis and
statistics, which also increased his R-Developer Skills. Knowledge in this
topics made Felix participating in several machine learning projects at
Accenture in public sector as well as financial sector. R as coding
language was a central skill in many of those projects.

Stay at Home and Healthy!

Greetings,
ViennaR organizers
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