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  • Research Associate

Ashish Chouhan

School of Information, Media and Design | Academic Researcher
Room: LGS 6, OG 2, 213
E-Mail:
Fax: +49 (0)6221-6799-202
Phone: +49 (0)6221-6799-224

About me
About me

April 2020 - Present
Academic Researcher at SRH Hochschule Heidelberg

  • Handling of SAP System and the Cloud Infrastructure for Faculty of Information, Media, and Design
  • Research Projects in Applied Computer Science and Big Data and Data Analytics
  • Big Data Programming with hands on in Python
  • Neural Networks Concepts, Machine Learning, Deep Learning, and Natural Language Processing.

December 2018 - March 2020
Work Student at SAP SE

July 2018 - March 2020
Teaching Assistant at SRH Hochschule Heidelberg

April 2018 - March 2020
Masters in Applied Computer Science from SRH Hochschule Heidelberg

August 2014 - March 2018
Senior Software Engineer at HSBC Technology

Excerpt
I have contributed to these publications


Peer-Review

  • Chouhan, A., Prabhune, A., Raj, A., Chandra, D., Subramanya, S., Asangi, M., & Thottempudi, S. G. (2021, January). Shotifier: A Binary Shot Conversion Classifier Pipeline for Football Forwards. In 2021 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 156-163). IEEE.
  • Chouhan, A., Dhimate, T., Saya, S., Neelawarna, O., Pandya, T., Prabhune, A., & Chandak, M. B. (2020). Towards Identifying Influential Indicators for Predicting Football Club Stock Price. Helix, 10(04), 308-314.
  • Grotz, M., Chouhan, A., & Prabhune, A. (2020). Identifying fan motives during international sport event using social media A case study of 2016 UEFA European Championship. In International Association for Communication and Sports 2020.
  • Chouhan, A., Prabhune, A., Prabhuraj, P., & Chaudhari, H. (2020, August). DWreck: A Data Wrecker Framework for Generating Unclean Datasets. In 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 78-87). IEEE.
  • Chouhan, A., & Prabhune, A. (2019, October). FIF: A NLP-based Feature Identification Framework for Data Warehouses. In 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (pp. 276-281). IEEE.


Non Peer-Review

  • Kinner, M., Shinde, S., Dingankar, V., DSilva, M., Parashar, A., Chouhan, A., Grotz, M., & Prabhune, A. (2020). Identifying National Identity Motives in a Major Sports Events on different Social Media Platforms.


Conference papers and lectures

Conference presentation:

  • 2021. Ashish Chouhan. "Shotifier: A Binary Shot Conversion Classifier Pipeline for Football Forwards." IEEE BigComp Conference, Virtual.
  • 2020. Ashish Chouhan. "Towards Identifying Influential Indicators for Predicting Football Club Stock Price." ICIDC Conference, Virtual.
  • 2020. Ashish Chouhan. “DWreck: A Data Wrecker Framework for Generating Unclean Datasets.” BigDataService Conference, Virtual.
  • 2019. Ashish Chouhan. “FIF: An NLP-based Feature Identification Framework for Data Warehouses.” International Conference on Web Intelligence, Thessaloniki, Greece.

Poster presentation:

  • 2019. Ashish Chouhan. “FIF: An NLP-based Feature Identification Framework for Data Warehouses.” Visible CORE, Heidelberg, Germany.