Versed Chimpanzee — The Winner of TUM Analytics Cup 2022

Our team (Versed Chimpanzee) came first among 340 people and 148 registered teams (119 teams did submission) in TUM Analytics Cup 2022 challenge sponsored by Siemens Advanta Consulting and organized by TUM Informatics Decision Sciences & Systems Department. Participant Statistics can be seen below:

About TUM Analytics Cup 2022

In Analytics Cup 2022 challenge, teams developed a predictive model that classifies offers into successful and unsuccessful ones using multiple real-world data sets provided by Siemens Advanta Consulting and one of their clients. The given dataset contains offers for existing customers at facilities where Siemens' client company has already deployed some smart infrastructure products, but also offers to entirely new facilities without a previously existing business relationship. The products comprise the categories fire, security, and comfort. Our model lays the foundation for developing decision-support tools for the sales departments of Siemens' client. For more information on TUM Analytics Cup 2022, please check the following documents:

• Introduction_to_AC_Presentation.pdf
• Analytics_Cup_2022_Challenge_Info.pdf

Versed Chimpanzee Group Members

Contributer	GitHub Account	LinkedIn Account	Email Address	Other Links
Berk Sudan	github.com/berksudan	linkedin.com/in/berksudan	berk.sudan@protonmail.com	medium.com/@berksudan
Teofil Bodea	github.com/Teofil98	linkedin.com/in/teofil-bodea-4090811a3	teo.bodea12@yahoo.com	-
Li Zhou	github.com/programming-lizhou	-	li.zhou@tutanota.com	-
Saqib Ali Khan	github.com/saqib22	linkedin.com/in/saqib-ali-khan-660913129	asaqibkhans@outlook.com	-

How to Build

• If you are using a GNU/Linux operating system, you can directly build by executing the following Bash command:

chmod u+x ./build.sh && ./build.sh

• If you are not using a GNU/Linux operating system, please manually install dependencies in requirements.txt and make sure that your python and pip packages are up-to-date.

How to Run

• If you are using a GNU/Linux operating system, start Jupyter Notebook by executing the following Bash command:

chmod u+x ./run.sh && ./run.sh

• Then, you can open the notebooks in notebooks directory.

• If you are not using a GNU/Linux operating system, please manually run Jupyter Notebook and open notebooks in notebooks directory.

Important Note

Due to the privacy, we could not share the data of this challenge.