Fedi Lahbib has a diverse work experience in the field of data science and technology. They started their career as a Trainee at Kleos in 2018 and later worked as a Cryptocurrency Trader at Binance from 2017 to 2018. In 2019, Fedi had an End of Studies Internship at Just Smart, where they contributed to the development of a web and mobile application called "Dépanini" which aimed to connect users based on tasks, skills, and location. The following year, Fedi interned as a summer intern at ComunikCRM.
In 2021, Fedi worked as a Data Scientist at Sentinel Data from July to August, and then joined Dotcom as a Data Scientist. At Dotcom, they focused on developing an automated system for collecting data on hotel offers in Tunisia using technologies like Python 3, selenium, flask, Beautiful Soup, and PostgreSQL.
Currently, Fedi is working at Save Your Wardrobe as a Data Scientist & MLOps Engineer, where they are involved in the development of an automatic product tagging system for clothing. This system analyzes fashion images and automatically labels them with attributes like colors, categories, and subcategories, which helps generate labels and product names.
Fedi Lahbib completed a Bachelor's degree in Computer Science from ISIMM | High Institute of Informatics and Mathematics of Monastir from 2017 to 2019. Subsequently, from 2019 to 2022, Fedi attended Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT, where they received an Engineer's degree specializing in Data Science.
In terms of additional certifications, Fedi obtained the Huawei Certified ICT Associate-Artificial Intelligence V3 certification from Huawei in July 2020. Moreover, they also completed the "FUNDAMENTALS OF DEEP LEARNING" certification from NVIDIA in October 2021. Additionally, Fedi acquired a certification in machine learning from Stanford University in November 2019. They also completed certifications in "Machine Learning with Python" and "Python for Data Science and AI" from IBM, although the specific dates for these certifications are not provided.
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