Teaching and mentoring

During my time at Israel Tech Challenge (ITC), my responsibilities included giving lectures on various data science topics, writing coding exercises, and helping students through their studies.

Topics that I have taught include:

• Classical machine learning (classification and regression algorithms, unsupervised learning, …)
• Introduction to deep learning
• Keras and TensorFlow
• Natural language processing and computer vision

I also served as the students’ advisor as they work on their final data science projects, including writing online articles describing their work. Projects that my students have produced include:

• 2023
  • Identity detection for automated Irish dancing photo curation – Anna Lelchuk, Nissim Cohen, Shai Rosenfeld
  • Neural photo colorization – Arno Benizri, Kseniia Konoshko, Lior Ayash
  • Sign language video understanding – Nir David, Alexey Konev, Jia Ying
• 2022
  • Automatic photo curation with computer vision – Asi Sheratzki, Ary Enrique, Eran Perelman
  • Moodika: Generating Spotify Playlists based on Free Text Input – Noam Goldberg, Samuel Nataf, and Doron Reiffman
  • LawBerta: Legal clause extraction – Alon Gabay, Ursulla Smirnova, Yam Eitan
  • “Can 3 students and an Android app beat Tesla?” – Akiva Adler, David Demby, Samuel Abbetan
• 2021
  • “Same-same but different: Detecting product similarities” – Haim Attias, Itamar Zaltzman, Karishma Shah, Roy Yanovski
  • Sentiment analysis for detection of “Anti-Vax” tweets – Noa Ehrenhalt, Neta Geva, Nofar Herman, Ron Levy, Yaniv Weiss
  • Classifying emotions using audio recordings and Python – Tal Baram, Asher Holder, Maria Startseva
• 2020
  • Hateful meme detection – Sebastian Kleiner, Rozanna Royter, Ariela Strimling