About Karim
French
Native or bilingual
English
Fluent
Experience
- RENAULTBusiness Analyst ITAUTOMOBILEJune 2023 - Today (3 years and 2 months)Guyancourt, France- Technical expertise on numerical simulation software: Handling and optimization of tools such as ProLB, Fluent, Powerflow, Converge, FloEFD, used for modeling complex phenomena.- Development and integration: Participation in the implementation of technical solutions, execution of POCs, and integration of applications into the HPC environment.Automation and optimization: Creation of scripts and automations for managing recurring tasks and optimizing workflows.- Data analysis and impact: Collection, analysis, and processing of data to identify suitable technical solutions and improve simulation performance.- Developer-oriented programming: Aptitude and ability to handle development tools, with a focus on scripts and code necessary for customizing solutions.- IT tools management: Advanced use of JIRA and Confluence for project tracking, implementation of performance indicators, and automation of technical workflows.- HPC and cloud environment: Mastery of high-performance computing system architecture and interaction with Cloud platforms for deploying technical solutions.- Technical acceptance and validation: Execution of tests, monitoring of technical validation campaigns, and resolution of complex anomalies.
- Data ScientestData AnalysesE-COMMERCEJuly 2022 - April 2023 (10 months)Paris, FranceVolunteer projectsOnline retail data analysis in the USA:● Exploratory Data Analysis, Data visualization, KPI (https://github.com/karimsab/Superstores-data-analyses)Video games sales:● EDA, DataViz, sales prediction (https://github.com/karimsab/Video-games-sales)
- Data ScientestInference of a bank marketing campaign to predict its successBANKING AND INSURANCEFebruary 2022 - April 2022 (2 months)Paris, FranceInference of a bank marketing campaign to predict its success:● Data exploration and cleaning, then data visualization● Statistical tests, feature engineering, and machine learningResults: customer classification with ~78% accuracy
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Education
- Master of Science in EngineeringENSAM2016Mécanique des fluides Mécanique des solides Modélisation Simulation
- Data AnalystSorbonne2022- Programmation : Python - Data Visualisation : Matplotlib, Seaborn, Plotly - Machine Learning : Scikit-Learn - Scrapping : Text mining, Web scrapping (BeautifulSoup) - Big data / Database : SQL, PostgreSQL, BigQuery, PySpark - BI : Tableau
Certifications
- Data AnalystData Scientest2022