09/15/2026 updated

HE
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Senior Data Scientist & AI Engineer

Bruxelles, Belgium
Worldwide
Master Statistical & Financial Engineering, Paris Dauphine & Pantheon Assas University (2012-2014)
Bruxelles, Belgium
Worldwide
Master Statistical & Financial Engineering, Paris Dauphine & Pantheon Assas University (2012-2014)

Profile attachments

Hichem_ELFERTAS_CV_EU.pdf

About me

Senior Data Scientist with 10+ years of experience designing, developing, and deploying machine learning, advanced analytics, and AI-driven solutions to build scalable, production-ready systems that drive revenue growth, cost reduction, and operational efficiency. Willing to relocate within europe.

MLflowData IntelligencePython (Programming Language)Machine LearningMicrosoft SQL Server Data Engine (MSDE)Smart DataAzure Machine LearningData ScienceMulti-Agent SystemsGenerative AIPySparkMachine Learning OperationsAzure Data AnalyticsSoftware Version ControlDatabricks
?????? ???? ????????? | ?????????? & ??????? ?????????? | ??????????? ??????????

Senior Data Scientist with ??+ years building and running machine learning in production, with measurable results: +?.?% revenue from new customers, +?% from existing customers, and third-party costs cut with in-house AI. Now focused on Generative and Agentic AI engineering. ???? ??????? ????????????, ???? ??????????, ????????????? ??? ?????????? ????? ??.

?????????? & ??????? ??
- Agent architecture: workflow graphs, sub-agents, tool use, memory, routing, human-in-the-loop gates
- Multi-agent systems with LangChain / LangGraph; MCP servers and Agent-to-Agent (A2A) integration
- RAG pipelines: ingestion, chunking, embeddings, retrieval, reranking, grounding, quality measurement
- LLM evaluation and observability: tracing, cost/latency monitoring, regression detection
- Hugging Face, GPT models; Docker and Kubernetes deployment on Azure (Microsoft Foundry)

??????? ???????? & ???? ???????
- Pricing and revenue optimization, churn/retention, survival models, customer lifetime value, forecasting, unit-mix optimization
- NLP: text classification and sentiment analysis
- Ensemble methods (Random Forest, XGBoost, GradientBoosting), A/B testing, RFM segmentation, risk modeling
- Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, NLTK), PySpark, SQL, R, SAS (Base/Macro), VBA

?????, ????? & ???? ???????????
- Azure Databricks (large-scale PySpark); led migration and production deployment of a full ML product portfolio
- MLOps: Azure DevOps CI/CD, model lifecycle governance, monitoring and drift detection; Docker, Kubernetes, Git
- In progress: Microsoft Certified ML Operations Engineer Associate (AI-300, MLOps/GenAIOps on Azure)

???????? ??????
- Pricing model for ? European countries: +?.?% revenue from new customers, adopted by ??% of warehouses
- Rate-increase model (survival analysis + CLV): +?% revenue from existing customers, applied to ??% of customers
- In-house sentiment analysis AI agent replacing third-party services; retention model giving store managers actionable insights
- Executive presentations, use-case shaping, user coaching, team onboarding, mentoring; Agile

??????????
Self-storage (Shurgard), retail finance (Carrefour Finance), insurance (AXA, Euler Hermes), asset management and private banking (Natixis, Société Générale), corporate pensions (Sanofi, €?.?bn portfolio)

????????? & ?????????
- English C2, French C2, Arabic (native)
- MSc Statistical & Financial Engineering (Dauphine / Assas), Engineer in Applied Statistics, Bachelor in Law
- SAS Certified Predictive Modeler and Statistical Business Analyst

Experience

Professional experience5 - 10 years
Freelancer since2020

Languages

EnglishFluentFrenchFluent

Project history

Generative and Agentic AI Engineer

Personal Projects (Sabatical)
Between client engagements, dedicated a focused period to building production-grade capability in Generative and Agentic AI.
  • Architecture & orchestration of end-to-end agent systems: workflow graphs, tool use, memory, routing, and human-in-the-loop gates
  • Multi-agent workflows with LangChain/LangGraph.
  • RAG pipelines end to end ingestion, chunking, embeddings, retrieval, reranking, grounding with quality measurement built in
  • Evaluation & observability: tracing, cost/latency monitoring, and regression detection to keep LLM systems reliable in production
  • Deployment with Docker and Kubernetes on Azure, including Azure AI Foundry
Certification in progress: Microsoft Certified: Machine Learning Operations Engineer Associate (Exam AI-300) MLOps and GenAIOps on Azure: CI/CD, model lifecycle governance, observability, drift detection and cost control.

Senior Data Scientist

Shurgard
Within the Data & AI Team, responsible for designing and developing end-to-end machine learning and advanced analytics solutions. Projects included migration and production deployment of ML products to Databricks, development of an AI agent for sentiment analysis on customer reviews, a predictive model for customer retention, and mentorship of a data science intern. Technologies: Python, PySpark, SQL, Azure Databricks, Azure DevOps, VSCode. Methodology: Agile.

Data Scientist

Shurgard
Within the Pricing Team, developed a new revenue management tool through multiple projects: a multi-country pricing model for new customers across 7 European countries (increased revenue by 6.8%), a rate increase model for existing customers (increased revenue by 5%), revenue prediction and unit mix optimization for warehouses, and business insights and data-driven decision support. Technologies: SQL, Python, VSCode.

Data Scientist

Carrefour Finance
Within the Marketing Department, responsible for generating actionable insights using analytics and machine learning. Tasks included RFM segmentation and migration matrix using SAS, customer behavioral analysis, product development recommendations, A/B tests, marketing campaign evaluation, dashboard automation, and churn model development. Technologies: SAS Base, SAS Macro, SQL, Business Object Web Intelligence, Excel VBA.

Risk Modeler

Euler Hermes
Within the Capital and Risk Management Department, worked with a Senior Risk Modeler on producing internal reporting for all group entities risk metrics. Tasks included creating and enhancing risk calculation tools, producing monthly and quarterly risk reporting, documenting risk metrics production processes, and data reconciliation. Technologies: SAS Base, SAS Macro, Excel, VBA.

SAS Developer

AXA Belgium
Within the Management Investment & ALM Department, contributed to a DataMart shift by updating and developing SAS Macro Programs for performance analysis of AXA investments. Tasks included producing performance analysis, developing new SAS macro programs, and testing accuracy in coordination with the middle office team. Technologies: SAS Base, SAS Macro, SQL, Excel, VBA.

Pension Investments Analyst

Sanofi European Treasury Center
Within Sanofi Pensions Advisory, advised five pension governance bodies in three European countries on investment activities, regulations, and tax optimization. Monitored investments of eight pension plans with a 2.5 billion euro portfolio. Tasks included performance analytics, due diligence, fund and manager selection analysis, benchmarking pension fund performances, and reconciliation of fund performances. Technologies: R, VBA, Excel, Bloomberg, Mercer.

Equity Strategist

Societe Generale Private Banking
Within the Portfolio Management Department, assisted strategists in making investment recommendations, building macroeconomic scenarios, and monitoring developed and emerging equity markets. Tasks included developing tools reflecting Chinese economic growth, enhancing equity valuation tools, and conducting on-demand economic analysis. Technologies: VBA, Excel, Eviews, Bloomberg, DataStream.

Operational Risk Analyst

Natixis Global Asset Management
Within the Compliance & Risk Management Department, assisted risk managers in monitoring and quantifying operational risk for more than thirty asset management firms worldwide. Tasks included designing a method for quantifying operational risks using R, conducting annual risk measurements and stress tests, developing operational risk maps, and automating risk quantification processes. Technologies: R, VBA, Excel.

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