Freelancer profile translated to English.
Back to original languageAbout Askia
With over 10 years of experience as a research officer and then Data Scientist, I have had the opportunity to support major clients on marketing/industrial/digital/risk issues in various sectors (E-commerce, Energy, Banking, Industry, Tourism, Telecom, Energy).
Conscious of the success of my missions, I am committed to understanding the business challenges of my clients.
Specifically, I am able to:
• Use cloud computing platforms (AWS, Azure, GCP)
• Work with major Big Data frameworks (Hadoop, Spark)
• Utilize the most appropriate machine learning and/or deep learning libraries (Scikit learn, Xgboost, Keras, Tensorflow)
• Produce clean and documented Python/R code
• Deploy algorithms in production
• Integrate my work using version control software (git)
• Present recommendations through visualization/BI tools
Enthusiastic and flexible, I can integrate quickly and bring a positive dynamic :)
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- ENGIE DigitalData ScientistNovember 2020 - January 2024 (3 years and 2 months)Paris, FranceAchievements: Implementation of predictive maintenance models. R&D, Implementation and deployment of machine learning models for air handling units (refrigeration/heating of buildings, data centers, shopping malls). 1. Research and Development:- Design and creation of predictive maintenance algorithm prototypes.- Use of research and development methodologies to explore and test different approaches. 2. Software Development (Python):- Python programming for prototype development.- Integration of the pipeline into the dedicated data science library. 3. Production Deployment:- Management of model deployment in a production environment. 4. Model Lifecycle Management:- Implementation of automatic model retraining processes.- Drift detection to ensure continuous prediction quality.- Monitoring and tracking of deployed model performance. 5. User Interaction:- Gathering user needs for predictive maintenance.- Adaptation of models based on user feedback for continuous improvement.
- FoodChériLead Data ScientistFebruary 2020 - November 2020 (9 months)Paris, France
- Viseo[KEOLIS] Data Scientist / Engineer ConsultantDecember 2019 - February 2020 (2 months)Context: Production of passenger flow forecasts for several bus lines in the Goussainville network. Gathering business needs, project monitoring, Python development. Achievements: Implementation of a cloud infrastructure, development of a machine learning algorithm, and deployment of an API for websites and station displays. Technical environment: Python, Spark, Azure DevOps, Azure Data Factory, Azure Machine Learning, Azure Data Lake Gen2, Azure Databricks
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Education
- Master Statistics, Data mining, Econometrics, MarketingUniversity of Montpellier2012Master Data mining, Data mining Statistiques, Econométrie, Marketing
- Bachelor's degree in Economics, mention Econometrics, Econometrics and Quantitative Economics, Economics, StatisticsUFR Economics - University of Montpellier 12009Licence en sciences economiques, mention économétrie, Économétrie et économie quantitative, Economie, Statistiques