DataFolio

Data Science and MLOps RNCP certification (Equivalent to a Master's-level qualification in France)

June 2024 - September 2024

Artefact School of Data

A 3 months bootcamp focused on NLP, Deep Learning and MLOps. Course components include:

• NLP : Text processing, Sentiment Analysis, Word Embedding eg. word2vec, Topic Modeling, NER.
• Machine Learning and Deep Learning : MLP, CNN, RNN, Transfer Learning, Computer Vision, AutoML, Data Augmentation, LLM, RAG, LoRA.
• Machine Learning Engineering (MLOps) : MLFlow, FastAPI, Flask, Docker, Kubernetes, MangoDB, AWS, Terraform

IoT Engineering Double-Degree

2020 - 2022

SUPMICROTECH-ENSMM, Besançon, France

During my last year engineering education, I specialized in the design and development of IoT devices. As part of this, I worked with the ImVIA laboratory on the development of a smartwatch from scratch. From the fabrication of thin layers using Lift-Off, the design of electronic schematics on Altium, and the selection of sensors, to the programming in Kotlin of the mobile app that hosts the data stored on Firebase and analyzed in real-time.

• Statistics : Descriptive and inferential statistics, Probability distributions and hypothesis testing, Bayesian statistics, Regression analysis.
• Machine Learning (Supervised, Unsupervised and Reinforcement Learning)
• Programming in Java, Database Querying in SQL.
• Android Application Developement in Kotlin

General Engeneering Degree

2018 - 2022

Ecole des Mines de Rabat, Morocco

Relevant Courses include: Programming in C and Java, SQL, Statistics, Economics and Finance, Applied Mathematics.

Extra-Curricular activities: Head of the Training & Presentation Team, Enactus Mines Rabat.

Business Data Analyst

2022 - Present

Egis, Montreuil

Grand Paris Express Project

• Contributed to the design and testing of an automatic incident detection system based on Computer Vision using YOLO v8, enhancing the ability to monitor and respond to incidents in stations and facilities with increased accuracy.
• Assisted in implementing the Elastic stack (Elasticsearch, Logstash, Kibana) for REST APIs, significantly improving network log monitoring efficiency and enabling faster issue resolution.
• Developed a custom data extraction and transformation tool, reducing processing time by 50% and enhancing workflow automation. Tools: Python, Flask, AWS Lambda, and S3.
• Created dashboards with Power BI, Power Query, and DAX, facilitating visualization and decision-making. Published using Power BI deployment pipelines and connected to Azure Databricks.

Data Management Engineer Intern

Mars 2022 - Septembre 2022

Egis, Lyon

M2M3 Metro Project

• Developed a requirements traceability tool using NLP techniques (lemmatization, TF-IDF, and cosine similarity), improving the tracking and analysis of requirements for a metro project with 10,000 specifications.
• Automated processes with VBA and Regex, increasing operational efficiency.
• Created KPIs and interactive dashboards with Power BI, facilitating data analysis for better decision-making.
• Implemented a requirements management methodology and trained teams on the tool, ensuring effective project management and optimal stakeholder alignment.

Robotics Engineer Intern

Mars 2022 - Septembre 2022

Egis, Lyon

MORFOSE Project

• Modeled and simulated the robot’s modules in 3D using MATLAB, providing visual insights and validating design concepts.
• Programmed and simulated the robot in real-time with ROS and Gazebo, ensuring precise and reliable performance.
• Conducted performance tests on Linux, optimizing efficiency and ensuring the robot’s compliance with standards.
and optimal stakeholder alignment.