Freelancer profile translated to English.
Back to original languageAbout Amine
Doctor data Scientist, my goal is to support clients on their data projects, from defining the need to putting into production, in order to solve concrete business problems, bring added value and increase turnover. I attach importance to the transfer of knowledge through the supervision and training of juniors.
English
Native or bilingual
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- GreenFlex - Filiale de TotalEnergiesSenior Data IA EngineerENVIRONMENTALMay 2023 - Today (3 years and 1 month)Paris, France
- Responsible for the design, development, production deployment and monitoring of artificial intelligence modules through ETLs and optimized pipelines within the Energy team, while respecting Agile SAFe principles.
- Design and implementation of robust processing pipelines for customer data (time series in influxdb) on Databricks, integrating GitLab CI practices and delta tables.
- Migration of pipelines and delta data to Databricks E2 on time to ensure compliance of solutions.
- Design and execute rigorous technical and functional tests, ensuring the quality and reliability of production systems.
- SNCF RESEAUSenior Data Engineer & ScientistTRANSPORTATIONApril 2021 - May 2023 (2 years and 1 month)Paris, France
- Piloted the validation, ingestion and preparation of massive continuous data pipelines, coming from trains, for a data contract worth €900,000 (Python, SQL, PySpark, Azure Databricks, Databricks Workflows, Delta Live Table and Microsoft Azure).
- Migrated code from Python (AWS) to PySpark (Azure Databricks) to optimize parallel computing, set up data ETL and pipeline execution.
- Developed an automated failure detection application to improve the maintenance of speed sensors on the French rail network, by performing massive data analysis, building machine learning models and setting up Power BI dashboards. Result: the detection rate increased by 100%, from 5%-10% to ~95%, and efficiency was significantly improved.
- Supported 4+ SNCF RĂ©seau clients in defining needs, translating business requirements into technical problems, engaging in agile development and validation, in order to provide end-to-end AI solutions.
- TAG HeuerData EngineerLUXURY GOODSMarch 2020 - September 2020 (7 months)Paris, FranceImproved the TAG Heuer Connected watch by developing intelligent algorithms to process IoT data, correct anomalies with sophisticated techniques and increase the accuracy of the watch's sports metrics.Processed, cleaned, prepared and analyzed different types of data (GPS, number of steps, etc.) to identify relevant information. Implemented machine learning algorithms to detect anomalies in the data.Deployed a user-friendly dashboard with Docker and Streamlit, allowing non-technical stakeholders to access and understand the information generated by the data.Communicated the results and participated in meetings with multidisciplinary teams to ensure alignment and understanding throughout the organization.
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Education
- Doctorat en Traitement du signal et de l'imageUniversité Paris-Saclay2018📰 Publication - 28eme EUSIPCO (European Signal and Image Processing Conference) - 27eme EUSIPCO (European Signal and Image Processing Conference) - 25eme Colloque GRETSI (Groupe d’Études du Traitement du Signal et des Images) - Co-auteur d'un article publié dans le journal Astronomy & Astrophysics
- Master en Traitement du signal et de l'imageUniversité de Bordeaux2015Deux ans de formation - Master 1 : 2013-2014 - Master 2 : 2014-2015
Certifications
- Databricks Lakehouse FundamentalsDatabricks2022
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and OptimizationCoursera Course Certificates2019