Pencho Dobrev, Data Scientist @ Kaufland
Pencho joined Kaufland’s Data Science team two years ago and is mainly exploring different methods for time series data forecasting. Covering broad techniques, from pure statistics to Deep Neural Networks, his tools of choice include PySpark, TensorFlow, Scikit-Learn and Keras. His Master’s degree at Sofia University St. Kliment Ohridski is focused on Statistics and Econometrics.
Always up for a Data Science challenge, he participated in competitions either as contestant or supporter.
Data.Chat Name: penchodobrev