Hakim Diouane

Hakim Diouane has worked in the data science field since 2020. In that year, they completed an internship at Hopital Foch as a Data Analyst Intern, where they published a study with RMarkdown and implemented statistical tests to validate hypotheses. In 2021, they interned at Grant Thornton France as a Risk Management - Data Scientist Intern, where they automated control check processes and KPI visualization with Machine Learning to detect unusual transactions on accounting and financial databases. In 2022, they worked as a Data Scientist at SESAMm, where they participated in Data Science & NLP projects for the Customer Success team, implemented and monitored NLP pipelines in production, and enriched the knowledge base on listed and unlisted companies from external databases and textual documents. Also in 2022, they interned at Polynom as a Data Scientist Intern, where they optimized marketing strategies through transport advertising and mobility reporting using geographic data, modeled and evaluated marketing interaction between ads and people, and implemented graph theory.

Hakim Diouane has an education history that includes a Diplôme d’ingénieur in Data Science & Network Intelligence from Télécom SudParis from 2019-2022, and a Classe Préparatoire aux Grandes Ecoles - PSI (Physique et Sciences de l’Ingénieur) from Lycée Jacques Decour from 2016-2019. Hakim also has certifications from IBM, DeepLearning.AI, and the University of Pennsylvania, including IBM Data Science Professional Certificate, TensorFlow Developer Professional Certificate, Fundamentals of Finance, and Introduction to Corporate Finance.