PyData Tel Aviv 2022

Dina Bavli

Dina Bavli is a Data Scientist with experience in NLP, Graph theory, NetworkX, churn prediction, and a growing interest in ASR (automated speech recognition).
Her Master's thesis deals with classifying and characterizing persuasion. She is a former teaching assistant for ML and an international public speaker.
She is a data science content writer for workshops, meetups, and online courses, and an official author of the Towards Data Science and Better Programming publications.
Dina is passionate about data, sharing knowledge, and contributing to society. Whenever she can't find a sufficient tutorial, she creates one.

The speaker's profile picture


Life, Death, and Shopping
Dina Bavli

A step-by-step introduction to purchase prediction. Also applicable to survival analysis and churn prediction. Including implementation in PySpark.

Track 1