Freelancer profile translated to English.
Back to original languageAbout Kais
👨💼 Professional Profile
Data scientist / ML engineer with +7 years of experience, specializing in data consulting. Throughout my career, I have collaborated on various high-value ML projects and models for businesses (marketing, media, retail, e-commerce, health,...), transitioning from POCs to industrialized cloud products.
💼 Experience and Skills
In addition to the technical and analytical skills required for the data scientist profession, I have developed a keen sense for product delivery in agile. My main interest lies in engineering, MLOps, and project scalability. I regularly share my thoughts and work with the community through articles published on Medium.
🔍 Project Examples
- Data Science in Marketing and Advertising/E-commerce: Audience or customer segmentation, propensity scoring, churn, LTV, Marketing Mix Modeling.
- Time Series: Audience volume prediction, stock prediction, innovation and disruption management.
- MLOps/Data Engineering: Large-scale API deployment and monitoring of ML models on Kubernetes, production deployment of models and data orchestration via Airflow or ArgoCD.
- Analytics: Behavioral data analysis on BigQuery and restitution of insights for various business teams in the marketing and tourism sectors.
- Creation of Automated Dashboards: Setting up data refresh pipelines and front-end (Streamlit, Looker, PowerBI).
- NLP: Text analysis, development of a NER model for keyword recognition, RAG based on LLMs (bedrock, openAI..).
☁️ Cloud Platforms
Expert on GCP (MLOps Engineer certified), I have also worked on several projects on AWS.
👥 Leadership and Project Management
I have also gained experience in project management, mentoring junior teams, and implementing good code and delivery practices within the team.
Arabic
Native or bilingual
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- AXA GOML EngineerBANKING AND INSURANCEJanuary 2025 - Today (1 year and 7 months)Paris, France-Support various teams in adopting best practices for MLOps and LLMOps to streamline the development, deployment, and monitoring of ML, LLM, and RAG applications.-Implementation of a guardrails library to secure the use of LLMs and their integration into customer-facing applications.
- Sanofi - Digital AcceleratorSenior Data ScientistPHARMACEUTICALS INDUSTRYJune 2023 - December 2024 (1 year and 6 months)Paris, France- Implementation of Bayesian models for Marketing Mix Modeling applications.- Collaboration with US business teams to explain and calibrate models (contribution analysis, hypothetical scenarios, ...)- Work on recommendation and budget allocation with a linear optimization model (CBC, Gurobi ...)- Implementation of MLOps tools for the data science team to accelerate development (MLflow, Github CI/CD, tests...).- GenAI: Development of a POC with Slack integration to search for answers in Confluence and Sphinx documentation (Vespa.ai, Bedrock and AWS, ..)
- BrutML EngineerCONSULTING AND AUDITSJanuary 2023 - June 2023 (5 months)Paris, FranceMLOps mission:- Implementation of an architecture to easily iterate and deploy machine learning models by the DS team (stack: Terraform, Docker, GCP...)- Exposure of custom models on BigQuery (classification, NLP, ...) to ensure simplified access for data analysts to ML models.
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Education
- Engineering DegreeCentrale Lille2018Formation d'ingénieur généraliste avec une spécialisation en data science
- Engineering DegreeTunisia Polytechnic School2018Formation d'ingénieur généraliste
Certifications
- Google Cloud Platform - ML EngineerGCP2021
- Azure FundamentalsMicrosoft2020