Dina Bavli
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 experienced international public speaker. She is a data science content writer for workshops, meetups, 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 and open source. Whenever she can't find a sufficient tutorial, she creates one.
Talks
🇺🇸 Life, Death, and Shopping
A step-by-step introduction to purchase prediction. Also applicable to survival analysis and churn prediction. Including implementation in PySpark.