About Bassem
English
Native or bilingual
French
Native or bilingual
Experience
- SuezSenior Data Scientist: Deployment optimisationENVIRONMENTALOctober 2024 - Today (1 year and 9 months)Paris, FranceAnalysis and correction of the previous codebase.Analysis and counseling on data quality.Pipeline creation from raw to cleaned data ready to be used for modeling.Counseling on data collection and project data governance for future projects.Preliminary results on modeling performance in record time (-86% in time to POC). 45%OPEX cost reduction (1M€/y) & 40% CAPEX cost reduction (1.2M€/y).Technical stack: Python, Cloud Azure, Azure ML, Git, Pandas, Scikit-Learn, PySR. makingImplementation of analytical data model and CI/CD best practices to improve model reliability in production: -83% in project delivery ( 6 months to 1 month ). Prediction of optimum product yield: 10% increase in yield and 30% reduction in process costs. Support for production teams in improving KPIs using data analysis and visualization: Acceleration of analysis phases and reduction in the duration and frequency of crises impacting critical KPIs. Technical stack: Python, SQL, Azure, Matillion, Databricks, Docker, Git, Snowflake, Pandas, Scikit Learn
- InnovafeedSenior Data Scientist: Decision making automationAGRICULTUREJune 2022 - September 2024 (2 years and 3 months)Paris, FranceImplementation of analytical data model and CI/CD best practices to improve model reliability inproduction: -83% in project delivery ( 6 months to 1 month ).Prediction of optimum product yield: 10% increase in yield and 30% reduction in process costs.Support for production teams in improving KPIs using data analysis and visualization: Acceleration ofanalysis phases and reduction in the duration and frequency of crises impacting critical KPIs.Technical stack: Python, SQL, Azure, Matillion, Databricks, Docker, Git, Snowflake, Pandas, ScikitLearn
- CubynData Scientist : Decision making automationLOGISTICS AND SUPPLY CHAINFebruary 2021 - May 2022 (1 year and 3 months)Paris, FranceProcess automation and optimization of operating costs: -8% operating costs: €1m/year savedAutomatic detection of lost parcel: Improved customer experience and Customer Support efficiency.Clean and reliable carrier/customer databases: Improved customer experience in parcel tracking.Technical stack: Python, SQL, GCP, Pandas, Scikit-Learn, Facebook Prophet, Pyomo data analysis,
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Education
- Generalist EngineerInstitut Polytechnique de Paris.2020Generalist Engineer
- Preparatory class for engineering schoolLycée Saint-Louis2017Preparatory class for engineering school