A. Ali HADID

Client: Carmignac Mission: Participation in the project for the creation of a new data platform based on the Azure ecosystem. Tasks: • Collection of multi-source data (ADLS, Postgresql, deltalake) for the creation of Spark scala dataframes • Spark scala development (Databriks) for data processing (Sql, json) • Automation of the creation of deltalakes from Sql server tables in the data factory environment • Creation and manipulation of Postgresql databases (Azure devops) • Participation in various agility meetings (Azure devops) Technical environment : • Environment: Azure, Databriks, Data factory, Postgresql • Languages: Scala, Sql • Technologies: Spark, gitHub • Systems: Windows VDI

Mission: Participation in the G2IP project for the automatic detection of mechanical objects G2IP. The implementation of automatic learning models (ML / Deep Learning) for the detection of objects. Tasks: • Analysis and study of existing technologies in order to propose technical solutions for the detection of objects in images based on automatic data learning techniques. • Testing and adaptation of ML models for image processing and object detection • Development and testing of demonstration prototypes • Collection of data for the creation of the dataset of mechanical objects Technical environment : • Environment: Tensorflow, pyTorch • Languages: Python • Technologies: Deep learning • Systems: Linux

Mission: As part of an upgrade of my skills in Data Engineering, I integrated a full-time professional training on different Big Data / Devops tools. Learning and carrying out projects on data engineering tools Tasks: • Creation of ML models for the detection of fraudulent banking transactions • Deployment of ML models in Big Data environment via Spark • The development of micro-services / API (Flask / FastAPI) • Isolation and orchestration of the development environment (Docker / Kubernetes) • Automation of tasks via Airflow (Creation of an ETL) • Choose, set up, and populate a database from a dataset (SQL) • Creation of a data warehouse by storing and partitioning relational databases (HDFS/ HIVE) Technical environment : • Environment: SPARK, HADOOP, HIVE, HBASE, DOCKER, FLASK, FASTAPI, KUBERNETS, MONGODB, AIRFLOW, PANDAS, NUMPY, GIT, SKLEARN • Languages: PYTHON, SQL • Technologies: DEVOPS • Systems: LINUX (AWS EC2)

Mission: In the Research and Innovation division of Capegimini Engineering, I was in charge of: • Development of a mobile application for the verification of compliance with standards for the batteries of electric or hybrid vehicles. • Development of virtual environments for autonomous vehicles • Deployment of Machine Learning models for the detection of tumors from MRIs Tasks: • Analysis and study of existing technologies in order to propose appropriate solutions to our needs • Development and testing of demonstration prototypes • Follow-up of certification training in development and data analysis. • Converted a desktop application in Javascript / node js to a mobile application • Python development of scripts for the control of autonomous vehicles during numerical simulation • The Python development (Tensorflow, Keras) of a decision support system based on Deep Learning techniques for the detection of tumors on MRIs. • Certification and development of Data Science skills Technical environment : • Environment: TENSORFLOW/ KERAS, SCANER STUDIO, PANDAS, NUMPY, SQL, CORDOVA • Languages: PYTHON, JAVASCRIPT, HTML/ CSS • Technologies: NODE.JS, GIT • Systems: WINDOWS, LINUX

Mission: • The implementation and development of a traffic model for autonomous vehicles from SCANeR studio (Python, API) • Development (Python), test, and validation of modules of an HMI installed on an HPC server (Linux): [dev-staging-prod env, test, PR reviews] • Implementation of scripts to automate testing and analysis of simulation results • Validation of development requests for the SCANeR studio simulator • Conducted regression testing, analyzed results and submitted observations to development team • Reviewed project specifications and designed technology solutions that met or exceeded client expectations.