Ibrahima Ba
About Ibrahima Ba
Ibrahima Ba is a Data Scientist at Ouest-France in Rennes, Bretagne, France, where he has worked since 2020. He specializes in developing modules for article classification, gender recognition, and sentiment analysis, and has a strong academic background in Informatique from Université Pierre et Marie Curie and Université Paris-Saclay.
Work at Ouest-France
Ibrahima Ba has been employed as a Data Scientist at Ouest-France since 2020. He works in Rennes, Bretagne, France, where he has contributed significantly to various data-driven projects. His work includes developing a module that classifies 50 million articles into 15 discourse type classes, enhancing the organization’s ability to manage and analyze large volumes of content. Additionally, he created a gender recognition module aimed at generating gender parity barometers, which supports the company's commitment to diversity and inclusion.
Education and Expertise
Ibrahima Ba holds a Master's degree in Informatique from Université Pierre et Marie Curie, where he studied from 2017 to 2019. Prior to this, he earned a Licence in Informatique from Université Paris-Saclay, completing his studies in 2017. His educational background has equipped him with a strong foundation in data science and programming. He possesses expertise in various optimization techniques, including genetic programming, ant colony optimization, particle swarm optimization, and bacterial foraging, which he applies in his data science projects.
Background
Before joining Ouest-France, Ibrahima Ba worked as a Data Engineer at Groupe Crédit Agricole from 2019 to 2020. His role involved utilizing data engineering skills to support the organization’s data initiatives in the Région de Paris, France. This experience provided him with practical knowledge in data management and analysis, which he has further developed in his current position.
Achievements in Data Science
In his role as a Data Scientist, Ibrahima Ba has developed several innovative modules. These include a facial recognition module for a database of elected officials in Brittany and an image query module that uses similarity measures between image clusters. He has also created a sentiment analysis module that focuses on emotions such as anxiety and captivation, demonstrating his ability to apply complex data science techniques to real-world applications.
Programming Skills
Ibrahima Ba utilizes a diverse range of programming languages in his work, including Julia, Haskell, Lisp, and Ocaml. His proficiency in these languages allows him to tackle various data science challenges and implement advanced algorithms effectively. This versatility in programming contributes to his success in developing modules that enhance data analysis capabilities at Ouest-France.