Mohammed Azizi
Lead Data & Machine Learning Engineer
Courbevoie (92400) France
Employed
Open to opportunities
With a strong expertise in artificial intelligence and data analytics, I have had the opportunity to work on and lead end-to-end projects in various fields such as finance and healthcare, delivering value to each profession through specific use cases that seamlessly integrate into both business and technical workflows.
Lead Data & Machine Learning Engineer
Natixis Investment Managers
Since January 2022
Paris
France
- Lead and Develop AI and Data Analytics Initiatives for Natixis' Asset & Wealth Management Division. Key Projects:
- Generative AI : Design and implement generative AI solutions within a highly secure environment, using cutting-edge technologies such as quantized Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. The goal of the use case is to provide the business team with a GenAI tool that allows them to interact with internal databases using natural language.
- Fund Performance Analytics Platform: Design a data analytics platform to monitor fund performance by integrating external and internal data. This includes a dashboard for in-house versus competitor fund comparisons and an email alerting system for key performance indicators.
- Client 360: Develop data analytics projects that involve extracting, loading, and analyzing customer engagement data to construct comprehensive 360° dashboards. Our goal is to leverage data insights to support strategic decision-making and provide a 360 view of client engagement channels.
- Generative AI : Design and implement generative AI solutions within a highly secure environment, using cutting-edge technologies such as quantized Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. The goal of the use case is to provide the business team with a GenAI tool that allows them to interact with internal databases using natural language.
- Technical Environments & Tools: Azure Data Factory, Azure Databricks, Azure Machine Learning, GCP, Vertex AI, Azure OpenAI, Informatica, Terraform, Jenkins, Tableau, BigQuery, Spark, XLDeploy, PowerBI, Airflow
Co-founder - Head of AI
DataPathology
January 2021
to April 2024
- Co-founder and head of the AI department at the startup DataPathology, specialized in digitizing the processes of pathological anatomy and using AI approaches for cancer detection. I was responsible for leading and developing AI solutions, particularly for breast cancer.
- My role includes the following:
- Implementation of the scientific approach to address the cancer diagnosis problem
- Implementation of the technical approach
- Technical and clinical evaluation of the approach
- Development and deployment of a web application to make the application available to doctors
- Implementation of the scientific approach to address the cancer diagnosis problem
- Technical Environments & Tools: AWS, Flask, IIS, Azure DevOps
Data Scientist
Natixis CIB
January 2018
to November 2021
Paris
France
- Build Machine Leaning solutions for the CIB branch of Natixis. Key Projects:
- Interest Rate Hedging: Building a tool that automatically helps manage the risks of interest rate changes for derivatives making smarter decisions by using recurrent neural networks to optimize the hedging.
- Use NLP to analyze the minutes from client minutes, and turning their words into actionable insights
- Smart Recommendations for Hard-to-Sell Assets.
- Interest Rate Hedging: Building a tool that automatically helps manage the risks of interest rate changes for derivatives making smarter decisions by using recurrent neural networks to optimize the hedging.
- Technical Environments & Tools : Azure Machine Learning, MLFlow, Spark, Azure DevOps, XLDeploy, PowerBI, Hadoop, Docker
Data Scientist
Total Energies E&P
June 2017
to January 2018
Paris
France
- Build a cognitive platform for Information Retrieval tasks that improves our understanding of unstructured and semi-stuctured document, primarily using NLP & Computer Vision techniques. Key features of the platform include:
- Named Entity Recognition to accurately extract specific entities from PDF documents
- Entity Relationship Extraction
- Deep Learning system for efficient table extraction and comprehensive document layout analysis.
- Create a web API for the beta testing phase of the tool, facilitating user interaction and feedback.
- Named Entity Recognition to accurately extract specific entities from PDF documents
- Technical Environment & Tools : Python, Tensorflow, Flask, Spacy
Azure
GCP
PowerBI
Docker
Python
Jenkins
Terraform
MLFlow
Tableau
Spark
Airflow
AWS
Services: OpenAI, DevOps, DataFactory, Databricks, Machine Learning
Services: Dataproc, Composer, SQL, BigQuery, VertexAI
ML, NLP, Web dev packages
AWS Sagemaker, Amazon Bedrock
Financial Markets
Healthcare
Derivatives, IR Hedging, Commodities
Anatomical Pathology
Certifications
Languages
- French
- English
- Arabic
Master of Engineering - Information Technology , Machine Learning & Quantitative Finance
INSTITUT MINES-TÉLÉCOM ATLANTIQUE ( EX- TÉLÉCOM BRETAGNE)
2015
to 2018
IMT Atlantique, as a public top French higher engineering school combining digital technologies, energy, and environmental sectors, proposes engineering degrees mainly through programs at Master level.
Main courses:
Main courses:
- Advanced statistics (Estimation, Classification and Decision )
- Financial Markets
- Stochastic Calculus
- Algorithmic Trading
- Computer Vision ( Deep Learning )
- Software engirneering
- Networks
Exchange semester - Artificial Intelligence / Data Science
SHANGHAI JIAO TONG PARISTECH ELITE INSTITUTE OF TECHNOLOGY
January 2017
to July 2017
Exchange semester in Shanghai Jiao Tong University - ParisTech Elite Institute of Technology.
Main Courses:
Main Courses:
- Deep learning
- Data mining
- Mobile robotics
- Cloud computing
- Advanced database management
- Queuing theory
- Finance and strategy
Bachelor degree in parallel with the engineering studies
UNIVERSITÉ DE BRETAGNE OCCIDENTALE
2015
to 2016
Third year of a bachelor degree in parallel with the engineering studies.
Main courses :
Main courses :
- Topology & linear algebra
- Functional analysis
- Stochastic calculus
- Probabiliy & Statistics