Recommended expert

Hichem Elfertas

Senior Data Scientist

Hichem Elfertas
Brussels, Belgium

Experience

May 2023 - Present
2 years 9 months
Brussels, Belgium

Senior Data Scientist

Shurgard

  • Suggested, designed, and developed end-to-end machine learning and advanced analytics solutions with the Data & AI Team to increase revenue or reduce cost.
  • Led migration of all developed ML models and tools to the Databricks platform.
  • Ensured smooth production deployment of ML products, optimizing for scalability and performance.
  • Successfully migrated and deployed ML products to a robust, scalable platform.
  • Improved model performance and reliability in production, enabling more efficient data-driven decisions.
  • Developed an AI agent capable of performing text classification and sentiment analysis on customer reviews.
  • Created visualizations of sentiment analysis results to provide actionable insights to the business.
  • Automated generation of sentiment analysis reports and integrated them into existing systems.
  • Eliminated the need for third-party sentiment analysis services, resulting in cost savings.
  • Provided direct access to sentiment insights, enhancing decision-making capabilities.
  • Designed and developed a predictive model to identify clients likely to end contracts based on visitation patterns, contract features, and customer profiles.
  • Integrated the predictive model into operational workflows, enabling store managers to take timely retention actions.
  • Collaborated with stakeholders to align the model with business goals and engagement strategies.
  • Provided store managers with actionable insights to increase customer retention.
  • Enhanced long-term client relationship maintenance, contributing to sustained revenue.
  • Supervised a data science intern’s master’s project by guiding coding, machine learning techniques, and providing relevant business insights.
  • Supported successful completion of the intern’s project and enhanced practical skills.
  • Technologies: Python, PySpark, SQL, Azure Databricks, Azure DevOps, VSCode.
  • Methodology: Agile.
Jan 2020 - May 2023
3 years 5 months
Brussels, Belgium

Data Scientist

Shurgard

  • Worked within the Pricing Team on developing a new revenue management tool.
  • Designed the data model to feed machine learning models and pricing workflows for a multi-country pricing model across seven European countries.
  • Developed a pricing model based on microeconomic theory, incorporating factors like supply, demand, and customer lifetime value.
  • Implemented a comprehensive testing strategy to measure and validate the model’s performance.
  • Created monitoring workflows to ensure continuous performance of the pricing model.
  • Increased revenue generated by new customers by 6.8% and achieved adoption by 60% of warehouses in targeted countries.
  • Designed and developed a rate increase model using survival models and customer lifetime value analysis.
  • Established a testing strategy and built workflows to monitor the rate increase model’s effectiveness.
  • Increased revenue from existing customers by 5% and applied the model to 80% of the existing customer base.
  • Developed ML tools to forecast revenue for new warehouses and acquisitions, supporting investment decisions.
  • Created and integrated an optimization tool to enhance warehouse unit mix, improving space utilization.
  • Improved investment decisions with accurate revenue predictions and boosted ROI through optimized unit mix.
  • Conducted in-depth analyses to uncover trends and provided data-driven recommendations to the Pricing Team and executives.
Jan 2019 - Dec 2019
1 year
Brussels, Belgium

Data Scientist

Carrefour Finance

  • Generated actionable insights using analytics techniques and machine learning within the Marketing Department.
  • Developed an RFM segmentation and migration matrix using SAS.
  • Performed on-demand customer behavioral analysis using SAS.
  • Contributed to product development by deciding messages and offers for each customer.
  • Made recommendations to improve customer selections and A/B tests.
  • Evaluated marketing campaigns and fidelity programs.
  • Developed and automated dashboards.
  • Developed a churn model to improve customer retention.
Jul 2018 - Nov 2018
5 months
Brussels, Belgium

Risk Modeler

Euler Hermes

  • Worked on producing internal reporting for group entities’ risk metrics within the Capital and Risk Management Department.
  • Created and enhanced tools for risk calculation and monitoring.
  • Produced monthly and quarterly risk reporting.
  • Documented the risk metrics production process.
  • Performed data reconciliation from different sources.
Dec 2017 - May 2018
6 months
Brussels, Belgium

SAS Developer

AXA Belgium

  • Contributed to a DataMart shift by updating and developing SAS macro programs to produce performance analysis of investments.
  • Produced performance analysis by updating and adapting existing SAS macro programs according to the new DataMart.
  • Developed new SAS macro programs to enhance and optimize the performance analysis process.
  • Tested performance analysis accuracy in coordination with the middle office team.
Sep 2015 - Nov 2017
2 years 3 months
Brussels, Belgium

Pension Investments Analyst

Sanofi European Treasury Center

  • 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 portfolio.
  • Provided performance analytics and communicated findings to investment country managers and fund trustees.
  • Performed due diligence, quantitative and qualitative analysis for fund and manager selections.
  • Provided investment-related studies for management and trustees.
  • Benchmarked pension fund performance and allocation.
  • Supported reconciliation, verification, and communication of fund performances.
Dec 2014 - May 2015
6 months
Paris, France

Equity Strategist

Société Générale Private Banking

  • Assisted strategists in making investment recommendations, building macroeconomic scenarios, and monitoring equity markets.
  • Developed a new tool reflecting real Chinese economic growth.
  • Enhanced and developed equity valuation tools (risk premium, Shiller PE ratio).
  • Conducted on-demand economic analysis for clients and portfolio managers.
Sep 2013 - Nov 2014
1 year 3 months
Paris, France

Operational Risk Analyst

Natixis Global Asset Management

  • Assisted risk managers in monitoring and quantifying operational risk for over thirty asset management firms.
  • Designed and documented a method for quantifying operational risks (Advanced Approach) using R.
  • Conducted annual risk measurements and stress tests for regulatory purposes.
  • Developed operational risk maps for five new private equity firms.
  • Automated risk quantification processes.

Summary

Senior Data Scientist with 10+ years of experience designing and deploying machine learning, advanced analytics, and AI-driven solutions.

Proficient in Python, PySpark, SQL, SAS, and R, with extensive experience in Azure Databricks for large-scale data processing and Azure DevOps for agile project delivery and version control.

Skilled in Deep Learning (TensorFlow) and Generative AI Engineering (Databricks), with hands-on expertise in GPT models, Retrieval-Augmented Generation (RAG), LangChain, Hugging Face ecosystem, and OpenAI APIs.

Passionate about leveraging machine learning and Generative AI to develop scalable, value-driven solutions that enhance business performance and decision-making.

Skills

  • Python
  • R
  • Sas
  • Sql
  • Pyspark
  • Vba
  • Databricks
  • Azure Devops
  • Ensemble Algorithms - Bagging (Random Forest)
  • Ensemble Algorithms - Boosting (Adaboost, Gradientboosting, Xgboost)
  • Vscode
  • Git
  • Python (Numpy, Pandas, Scikit-learn, Pytorch, Tensorflow, Nltk)
  • Genai
  • Rag
  • Gpt
  • Hugging Face
  • Ai Agents

Languages

Arabic
Native
English
Advanced
French
Advanced

Education

Oct 2012 - Jun 2014

Paris Dauphine & Pantheon Assas University

Master statistical & financial engineering · Statistical & financial engineering · Paris, France

Oct 2008 - Jun 2012

Law School, Algiers University

Bachelor in law · Law · Algeria

Oct 2007 - Jun 2012

National School of Statistics and Applied Economics

Engineer in applied statistics · Applied statistics · Algeria

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