Freelancer profile translated to English.
Back to original languageAbout Ali
+7 years of experience in Data Science.
Double Expertise in Technology and Business: Passionate about the intersection of technology and business aspects, I combine the roles of Data Scientist and Machine Learning Engineer to bring a complete vision to your projects.
Key Communication: Ability to simplify complex algorithms and support the end-to-end implementation of your data science projects.
Several supply chain optimization projects deployed for Retail Companies: Forecast and Optimization (Python).
Appetite for client projects: Customer Segmentation / Scoring for marketing.
Offer:
- I help you leverage your data by creating AI/ML use cases tailored to your business needs. With expertise in time series forecasting.
- I help you implement best practices for deploying your models, with particular expertise on GCP.
- Support in documenting your data science projects.
âś… Expert Forecasting - Time series
âś… Expert MLOps (Machine learning Operations)
âś… Expert GCP (Google Cloud Platform)
🧑🏻‍💻 Machine Learning • Deep Learning • Time Series • NLP • MLOps • Docker • GCP • API• Databricks • Vertex AI • Forecasting
Using my data science and Machine Learning Engineering skills to define and put into production innovative use cases in the cloud.
Examples of use cases:
- Demand forecasting and optimization project to improve stock distribution between groups of points of sale.
- Creation of a data pipeline in Python / Pyspark to feed a Marketing analytics tool.
- Creation of elasticity and optimization models to support Merchandising teams
Strong aptitude for knowledge transfer, having trained professionals and students in Python, Data Science, and AI.
Certified: professional machine learning engineer GCP
French
Native or bilingual
English
Fluent
Spanish
Conversational
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km), Boulogne-Billancourt (up to 10km), Puteaux (up to 10km)
Experience
- Ali TBERSenior Machine Learning Engineer - AI EngineerRETAIL (LARGE RETAILERS)February 2026 - Today (6 months)Paris, FranceOffer:AI for OperationsI support Ops & Supply Chain teams in adopting AI for faster, more informed decisions. Several projects already deployed in production. Very good knowledge of the Retail sector.Demand Forecasting: predictive modeling to optimize inventory, reduce stockouts, and anticipate activity peaks (boosting models or deep learning, time series models).Causal Inference: rigorous measurement of the impact of your business actions (A/B testing, DiD, CausalImpact) - to know what really works.Keywords: demand forecasting, supply chain AI, causal inference, time series, PythonML Engineering:With experience in creating an ML platform from scratch, I am involved in the entire lifecycle of your models - from experimentation to production.Design of robust and scalable MLOps architecturesDeployment of models in production with continuous monitoringAutomation of training and retraining pipelinesStack: Databricks, Argo Workflows, Kubernetes, GCP, Vertex AI, MLflowKeywords: MLOps, machine learning engineering, model deployment, Databricks, Kubernetes, Vertex AI- AI engineering:I help companies build reliable, production-ready LLM applications, grounded in their own data.Current mission:- Implementation of an MLOps architecture on Databricks: automation of the model lifecycle (training, validation, registry, deployment), with governance via Unity Catalog and reproducible pipelines.
- WiremindLead Machine learning engineer - ForecastingTECHApril 2024 - February 2026 (1 year and 10 months)Paris, FranceContribution to building a robust Machine Learning platform to streamline the training, deployment, and monitoring of models across multiple use cases.This platform has accelerated the delivery of ML projects through scalability, reproducibility, and automation.Industrialization and deployment of advanced causal forecasting models developed by the R&D team, transforming experimental code into scalable, production-ready systems for operational use. Methods defined using causal inference.
- Levi StraussMachine learning engineer - Data scientistFASHION AND COSMETICSMay 2021 - Today (5 years and 3 months)Paris, FranceData scientist and Machine learning engineerLead on demand forecasting projects for the demand planning and inventory management teams. (Retail Operations)- Advanced predictive models (Forecasting): Design and implementation of multi-horizon forecasting models, comparing them to state-of-the-art forecasting techniques. (From Arima, boosting models to deep learning models like deepAR)- Industrialization: Deployment of robust Machine Learning pipelines (MLOps), including model performance monitoring and drift detection in production.- Training & knowledge transfer: Creation and delivery of a training program on forecasting methodologies and best deployment practices (CI/CD, MLFlow)Technical Environment: Python, AWS, Dataiku, Airflow, MLFlow, Github, Jenkins (CI/CD), Tableau.Time Series Models: Arima, Sarimax, Boosting, LightGBM, DeepAR, Sequential models (LSTM), PytorchImpact: Reliable and scalable solutions integrated into productionPricing and Promotion- Demand Modeling: Design of elasticity models (including cross-elasticity) to analyze product interactions and optimize strategic decisions.- Price Optimization: Development of optimization under constraints, generating precise recommendations aligned with business objectives.- Model Industrialization (MLOPS): Deployment of automated pipelines via Airflow (then Vertex AI)- Cloud Infrastructure and CI/CD: Daily use of advanced GCP technologies, combined with CI/CD practices via Git and Jenkins.- Agility and Collaboration: Work in Scrum methodology.Technical Environment: Python, Google Cloud Platform (GCP), Vertex AI, Airflow, Github, Jenkins (CI/CD), Docker, Kubernetes, TableauOptimization and Linear Programming: Pulp, Pyomo, Bonmin.
Recommendations
SM
PZ
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Training as an engineer specializing in Data ScienceIMT Atlantique2018Top French engineering school Master of Science in Engineering, Applied Mathematics- Specialization in Data-Science - Statistics & Data Analysis - Business intelligence and big data - Computer Science & Machine Learning - Operations research
Certifications
- Professional Machine Learning EngineerGoogle cloud2020
- Big Data Analysis with Scala and SparkCoursera - EPFL2020