Aksil Irbouh
Data Scientist Intern @Renault Group
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WORK HISTORY
Data Scientist Intern @Renault Group
Paris, FR
Development of a Low Code / No Code Machine Learning solution using Dataiku DSS to automate the vehicle cost estimation process.Analyzed and compared regression techniques: Ordinary Least Squares (OLS), Random Forest and XGBoost.Collected and processed data from internal and external sources.Performed data cleaning, preprocessing, and exploratory data analysis.Designed and trained a linear regression model to estimate vehicle costs.Evaluated model performance using appropriate metrics.Tested the model in an operational environment.Integrated the model into the tools used by IPCs (Cost Performance Engineers) for their cost analysis.
EDUCATION
Dorset College Dublin
Licence, Mathématiques computationnelles et appliquées
Universiti Kuala Lumpur
Master 2 (M2), Data & Artificial Intelligence
ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci
Parcours UX Design
ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci
Diplôme d'ingénieur, Data et Intelligence artificielle
ABOUT AKSIL IRBOUH
I first discovered chess in middle school after reading The Royal Game by Stefan Zweig. Soon after, I came across the story of Garry Kasparov’s defeat against Deep Blue, IBM’s supercomputer. From that moment on, artificial intelligence stopped being a curiosity and became a lasting passion. In 2020, I joined ESILV (Paris-La Défense) to pursue an engineering degree specializing in Data & Artificial Intelligence. Throughout my studies, I gained valuable experiences in France and abroad, which reinforced my commitment to data science and AI. Most recently, I completed my final-year internship at Renault, where I developed a machine learning solution using Dataiku DSS to automate vehicle cost estimation, supporting more than 80 engineers in the finance department. I am now seeking my first full-time position as a Data Scientist, eager to apply my skills in AI and data to new challenges!
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