Dorota Bailly
About Dorota Bailly
Dorota Bailly is a Data Scientist with extensive experience in quantitative analysis and data science. She has studied at several prestigious institutions and currently works at Jellysmack in Paris, specializing in machine learning and data analysis.
Work at Jellysmack
Dorota Bailly currently works as a Data Scientist at Jellysmack, a position she has held since 2021. Her role involves utilizing her expertise in data analysis and statistics to support the company's data-driven initiatives. Jellysmack, based in Paris, Île-de-France, focuses on empowering content creators through advanced technology and data insights. Bailly's contributions are integral to the company's mission of optimizing video content across various platforms.
Education and Expertise
Dorota Bailly has a strong educational background in mathematics and economics. She studied at the University of Warsaw, where she earned a degree in Mathematics from 2001 to 2004. Additionally, she attended SGH Warsaw School of Economics from 1999 to 2004. Bailly furthered her studies at École Polytechnique, completing an International Program from 2004 to 2005, and continued her education at ENSAE Paris from 2005 to 2007. In 2020, she completed a program at Yotta Academy. Her expertise includes machine learning, deep learning, and proficiency in Python and R programming languages.
Background
Dorota Bailly has a diverse professional background in data science and quantitative analysis. She began her career at BNP Paribas, where she worked as a Data Scientist in the ALM Department from 2006 to 2007. Following this, she joined Societe Generale Corporate and Investment Banking (SGCIB) as a Senior Quantitative Analyst and Data Scientist, a position she held from 2014 to 2018. Her experience in these roles has equipped her with a solid foundation in data analysis and statistical methodologies.
Achievements
Throughout her career, Dorota Bailly has developed strong skills in machine learning and deep learning. Her work has focused on data analysis and statistics, contributing to her effectiveness as a Data Scientist. Bailly's proficiency in programming languages such as Python and R enhances her ability to implement complex algorithms and data-driven solutions. Her academic and professional journey reflects a commitment to advancing her knowledge and skills in the field of data science.