Freelancer profile translated to English.
Back to original languageAbout Othmane
I am a Senior Data Scientist/Machine Learning Engineer with over 7 years of experience. I have worked in various sectors (automotive, marketing, retail), and I have experience on Google Cloud Platform and Azure.
I have worked on a wide range of projects in different phases, from upstream (data engineering, preprocessing), data science and model development, to industrial phases (model deployment, MLOps). I am certified on Google Cloud Platform (Professional ML Engineer) and Azure (Data Scientist Associate).
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 15km)
Experience
- CarrefourSenior ML EngineerRETAIL (LARGE RETAILERS)October 2023 - Today (2 years and 8 months)Massy, France• Deployment of various customer propensity scores (e-commerce) and Carrefour customer segmentation using Airflow DAGs.• Implementation of end-to-end MLOps workflows on GCP with Vertex AI.- Training in custom Docker container, and serving via Flask API.- Deployment of the model in the Model Registry, then batch or online inferences.- Model evaluation via Vertex/Kubeflow Pipelines.- Model monitoring and explainability.
- EkimetricsSenior Data ScientistCONSULTING AND AUDITSNovember 2022 - February 2023 (3 months)Paris, FranceContext: the client is a media agency that wants to estimate the impact of marketing investments (TV, radio, print, OOH) on the awareness and consideration of different brands.• Modeling the impact using the MMM (Marketing Mix Modeling) methodology.• Modeling for 3 sectors: insurance, tourism, and e-commerce.• Use of pooled models with clustering and PCA.
- Renault DigitalData ScientistAUTOMOBILEJanuary 2019 - November 2022 (3 years and 10 months)92100 Boulogne-Billancourt, FranceProjects:• Drift Control: detection of drifts in engine test benches.• Usage Based Maintenance: estimation of the wear level of vehicle components (tires, brakes) based on driving style.• Conditional Based Maintenance: anomaly detection for two use cases: filling machines and machining centers.Others• PoC Road Insight. Detection and visualization of dangerous areas by leveraging connected data.• Factory visits for scoping potential projects.• Data Science training provided to business experts.Tech stack: Python (sklearn, TensorFlow, xgboost etc.), Google Cloud Platform (Vertex AI, BigQuery, etc.) Kubeflow, Spark, Folium
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Education
- Mines Engineer Diploma, Computer ScienceMines ParisTech School2014Diplôme d'ingénieur des Mines, Computer Science
- Mathematics, Computer Science, CryptologyUniversité Denis Diderot (Paris VII)2015Mathématiques, informatique, cryptologie