Anais Gedik
About Anais Gedik
Anais Gedik is a Data Scientist with a background in management and statistics. She has experience in data collection, algorithm development, and has contributed to COVID-19 information dissemination.
Work at Kap Code
Anais Gedik has been employed as a Data Scientist at Kap Code since 2019. In this role, she applies her expertise in data analysis and machine learning to various projects. Her work focuses on developing algorithms that enhance data collection and analysis processes. She is situated in the Région de Paris, France, where she collaborates with a team to drive data-driven decision-making.
Education and Expertise
Anais Gedik studied at Université Paris X Nanterre, where she earned a Licence in Sciences de la gestion from 2013 to 2014. She furthered her education at Université de Reims Champagne-Ardenne, obtaining a Master 1 in Analyse et politique économique in 2018 and a Master 2 in Statistique pour l'Evaluation et la Prévision in 2019. Additionally, she completed a Certificat in Html et css at OpenClassrooms in 2017.
Background
Before her current position, Anais Gedik worked at Inserm as an Assistante marketing from 2013 to 2014, contributing to the Cohorte Constances project. She also served as an Agent de conformité at Baxter Institute in Melbourne for six months in 2014-2015. From 2015 to 2017, she was a Cofondateur at Clic and Pick, where she gained experience in entrepreneurship and marketing.
Achievements in Data Science
Anais Gedik has developed algorithms for machine learning and deep learning, specifically tailored for social media platforms such as Twitter, Facebook, and LinkedIn, as well as medical forums like Doctissimo. She has experience in creating scrapers for data collection and analysis, and has worked on projects related to user network creation, focusing on the virality of fake news. Additionally, she contributed to the creation of website content for Epilogue-Covid, which provides information related to COVID-19.
Contributions to Publications
Anais Gedik has been involved in writing articles and abstracts, likely contributing to scientific or industry publications. Her background in data science and statistics supports her ability to produce content that is both informative and relevant to her field.