À propos de Issam
I am an engineer in statistics and information analysis with 11 years of experience as a Lead data Scientist / Data analyst in different sector of activities (Health care, insurance, industry, energy ...). Passionate about statistics, with a deep expertise in developing and extracting insights from big data and implement data science as a service solutions to answer client requests. I have a strong technical skill using different statistical tools, such as Python (scikit-learn, pandas, NumPy, TensorFlow, Keras, matplotlib, seaborn …), R, SAS, SQL, BigQuery, Power BI, Dataiku, Cloud services: GCP workbench (Vertex AI, looker studio), Azure platform and AWS.
I am currently looking for new and exciting challenges.
Anglais
Capacité professionnelle complète
Français
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- Sanofi via Orange business serviceData Scientist / Data analystseptembre 2023 - Aujourd'hui (2 ans et 9 mois)• Lead data-driven projects by designing and implementing machine learning and statistical models to extract insights and drive business decisions.• Develop and optimize data pipelines to ensure efficient data processing, transformation, and integration from multiple sources.• Manage and mentor data science teams, providing technical guidance and ensuring best practices in model development, deployment, and monitoring.• Ensure data quality and validation through rigorous testing, version control, and governance standards.• Build predictive and prescriptive analytics solutions, leveraging AI, deep learning, clustering , classification, and advanced statistical techniques.• Collaborate with cross-functional teams (engineering, product, business) to translate business challenges into data science solutions.• Deploy data science models in cloud or on-premises environment, ensuring scalability and efficiency.• Develop and maintain analytical frameworks, dashboards, and reporting tools to track model performance and impact.• Communicate insights and recommendations effectively to both technical and non-technical stakeholders.• Ensure compliance with data regulations and best practices for responsible AI and ethical data usage.• Tools: SQL, BigQuery, looker studio, Python, GCP (vertex AI), SAS (9.4, SAS Viya), Power BI, R, Git, Jira, wise/Ewise….
- CapgeminiData Scientist / Data Analystmars 2019 - septembre 2023 (4 ans et 6 mois)• Manage artificial intelligence projects for different sectors of activities on premise or on the cloud (Azure, GCP and AWS)• Develop planning and project roadmap.• Coordinate and challenge with project team members to identify and answer client requests.• Manage the data science team members using Agile method of work.• Create the use cases and develop the backlog for each sprint.• Quality control to ensure the productivity, good quality of deliveries and the respect of deadlines.• Train and mentor junior staff. Support colleagues and provide motivation as needed.• Data analysis: Apply Data preprocessing methods, develop ETL, analyze and extract insights from data.• Data science: Create and develop machine learning models (supervised and unsupervised models), computer vision, reinforcement learning and deep learning.• Data visualization: Create Dashboards, develop reports and interpret statistical results.• Strong skills on programming and project management tools using SQL, BigQuery, Python, GCP (vertex AI), Azure, SAS (9.4, SAS Viya), R, Git, Mobaxterm, Databricks, Dataiku, Power BI, Jira, Ms project ….
- Eurofins (Dermscan Group)Data Analystjanvier 2015 - septembre 2018 (3 ans et 8 mois)• Strong understanding of clinical trials for pharmaceutical treatment, dermo cosmetics, and medical devices.◦ Conduct clinical trials studies for medication, medical devices, and dermo-cosmetic products.◦ Perform analysis on product efficacy and safety.◦ Create statistical analysis plan, study synopsis, protocol, and table shells.◦ Create and apply relevant statistical methods according to the study protocol.◦ Create the study design and the statistical part of the protocol.◦ Manage the SAS team members and participate in the development of SAS macros and programs according to the standard procedure of the company.◦ Generate and validate the statistical outputs (Listing tables and figures) TLFs.◦ Create statistical reports and interpret results in both English and French languages.
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Formations
- MSc in statistics and data analysis (Engineer Diploma)ESSAI2012Engineer degree in statistics and information analysis
- FormtionsGoogle cloud plateform, Azure, AWS2025Python for data science and artificial intelligence AI Machine learning on google cloud platform GCP AWS Cloud Practitioner Essentials AZURE
Certifications
- Azure fondamentale AZ 900Microsoft2025