Marin De Beauchamp
About Marin De Beauchamp
Marin De Beauchamp is a Senior Data Scientist at ManoMano, specializing in causal inference, recommender systems, and natural language processing. He holds a Master's degree in Mathematics from Ecole normale supérieure and has experience in data science roles at various organizations.
Work at ManoMano
Marin De Beauchamp has been employed at ManoMano as a Senior Data Scientist since 2017. In this role, he applies advanced data science techniques to improve business performance. His work includes utilizing causal inference methods to evaluate the impact of various events on the company's operations. Additionally, he specializes in developing recommender systems that enhance user experience and engagement on the platform.
Education and Expertise
Marin De Beauchamp studied at Université Paris Dauphine - PSL, where he focused on Applied Mathematics, Statistics, and Economics modelisation, achieving the first year of a master's degree in Applied Mathematics from 2014 to 2015. He furthered his education at Ecole normale supérieure, obtaining a Master 2 (M2) in Mathematics and Machine Learning from 2015 to 2016. His academic background equips him with a strong foundation in data science methodologies.
Background in Data Science
Before joining ManoMano, Marin De Beauchamp gained experience in various data science roles. He worked as a Data Scientist in R&D at Stootie from 2016 to 2017, where he focused on research and development projects. He also completed a six-month internship as a Data Scientist at Tradelab Programmatic Platform in 2016 and a two-month internship as a Data Analyst at LCL in 2015. These roles contributed to his professional development in data analysis and machine learning.
Technical Skills and Specializations
Marin De Beauchamp possesses expertise in several key areas of data science. He employs natural language processing techniques for effective product categorization, enhancing the organization of data. Additionally, he is skilled in time series forecasting, which plays a crucial role in strategic business planning. His proficiency in these technical skills supports his contributions to data-driven decision-making processes.