Hello, My name is

Ayoub MNINA,

I'm a Computer Science Engineer specializing in data-driven solutions, with nearly 2 years of experience combining software engineering 👨‍💻, data engineering, and analytics skills 📊. I transform complex raw data into strategic and operational insights by designing end-to-end analytical tools, from prototyping to production deployment.

My approach focuses on building robust, scalable solutions (decisional 🎯 and predictive 📈) that drive measurable impact and performance improvements.

🛠️💻 Tech Stack: Python, SQL, C++, MATLAB, Power BI, ETL pipelines, Databricks, Azure Cloud

Curious, self-driven, and passionate about the intersection of technology and science, I thrive on solving challenging data and software problems.

Beyond coding, I'm passionate about continuous learning and fascinated by space technology 🛰️ and astronomy 🌌. In my free time, I enjoy playing and watching football ⚽, reading about history 📖, and exploring strategy geography-focused games 🗺️.

Experience

Professional Experience

CNES
AW Service
Dufournier

Data Analytics Solutions Engineer Intern CNES - French Space Agency

Toulouse, France

Apr 2025 - Sept 2025

Python
Pandas
Plotly
Dash
PyLaTeX
Jupyter
Linux
Gitlab
Confluence
Jira
GNSS

During this experience, I joined the CNES Satellite Navigation 'SPN' team with the mission of applying my software and data engineering skills to support the team's operational strategic needs in data valorization, focusing on extracting actionable insights from large-scale datasets within the Precise Point Positioning Software (PPP-WIZARD). My main responsibilities included :

Understanding of team needs and participation in the definition of key parameters and operational specifications for the PPP project
Prototyping and development of analytical tools for extracting insights, enhancing, and advanced visualization of GNSS satellite navigation data (GPS; GLONASS; Galileo; BeiDou)
Implementation of data pipelines for pre-processing, transformation, and analysis of the PPP corrections chain (orbit, clocks, biases corrections)
Optimized reporting via automated generation of performance reports using Python scripting, distributing results of the precise positioning solution and additional 20+ operational KPIs to the team and system users
Development of an operational monitoring tool (dynamic web app) using an interactive Dash prototype to facilitate internal diagnostics and anticipate system anomalies (Monitoring satellite and constellation indicators, and PPP correction calculations)
Deployment and integration of the developed solutions into the CNES Precise Point Positioning Demonstrator (PPP-WIZARD Software)

Data Scientist/Engineer Intern AW Service

Paris, France

June 2024 - Sept 2024

Python
Scikit-learn
Pandas
Seaborn
SQL
Power BI
C++
Qt
Jupyter
Git

During this experience, I joined the AW Service Consulting Data team for a property management digitalization project, where I focused on extracting insights from various booking datasets and developing a predictive AI tool to anticipate booking cancellations. My main responsibilities included :

Developing ETL pipelines to process hotel booking data and generate data-driven insights across 15+ KPI
Building a predictive machine learning model to anticipate booking cancellations with a precision of 89%, enabling proactive decision-making
Deploying the ML solution as a C++/Qt desktop application (2-way PMS) enabling automated and real-time online-optimized booking management

Scientific Software Engineer Python/Matlab Intern DUFOURNIER TECHNOLOGIES

Clermont-Ferrand, France

Apr 2023 - Aug 2023

Python
Numpy
Scipy
PyQt5
PyQtGraph
PyODBC
SQL
Azure SQL
MATLAB

During this experience, I joined the data-tires project team, focused on developing an automated data processing pipeline for tire testing operations and calculating metrics to support tire mathematical modeling. Specifically, I worked on the following tasks :

Developing of in-house software to automate data processing, analysis, and visualization from tire testing machines (200 Hz time series data)
Automating the calculation of tire performance criteria/indicators and integration of results into a 200+ tires database "data-tires"
Tire mathematical modeling (Pacejka Magic Formula) and improvements to internal PFS (Pacejka Fitting Software) tools from version MF 5.2 to MF 6.1/6.2

Academic Career

Education

Institut Supérieur d’Informatique, de Modélisation et de leurs Applications - ISIMA Clermont Auvergne INP

Diplôme d’Ingénieur en Informatique et Modélisation (equivalent to a MSc in Computer Science; Option: Applied Mathematics, Optimization and Data Science)

2021 - 2025 | Clermont-Ferrand, France

OTH Regensburg - Ostbayerische Technische Hochschule

International Exchange Program

2022 - 2022 | Regensburg, Germany

CPGE Lycee Moulay Idriss - MPSI/MP

Classes Préparatoires aux Grandes Écoles (2-year preparatory course)

2019 - 2021 | Fez, Morocco

Établissement Achorouk

Baccalauréat, Sciences mathématiques B (High School Diploma)

2005 - 2019 | Sefrou, Morocco

My background has enabled me to build solid expertise in scientific computing, mathematical modeling and optimization, as well as data engineering and data science. I received comprehensive training covering both technical competencies—software development, modeling, scientific computing, and database management—and advanced methods and tools for data exploration and analysis, including predictive analytics (ML/AI), prescriptive analytics, and BI-driven decision analysis. Learn more about the program
My main areas of expertise include :

Data Processing & Analytics (Python, SQL, R, Spark, Azure Databricks)

Machine Learning, Deep Learning & AI (Scikit-Learn, TensorFlow/Keras, PyTorch, NLTK)

Software Development (Python, C++, MATLAB, Java, JavaScript, ReactJS/AngularJS, Spring Boot, Node.js, HTML/CSS, Git/Gitlab, Docker)

Scientific Computing & Optimization (Python, C/C++, MATLAB, Qt, CPLEX, Gurobi, MPI/OpenMP)

Database (SQL, NoSQL), ETL workflows (Azure Data Factory, Talend), BI Reporting and data visualization (Microsoft Power BI/Fabric, Dash/Streamlit, Tableau)

Portfolio

Projects

Data Science for British Airways ✈️

Data Science NLTK Scikit-Learn

ML Project - Detection the presence of volcanoes 🌋 in MARS images 🪐

Machine Learning Scikit-Learn PyTorch

R&D Project - Modeling and Scientific Computing 🔢 (Valeo) ©

Matlab Scilab

R&D Project - Mathematical Optimization 📈🔀 (LIMOS & Orange) ©

Python Guroby EONs

T.I.P.E. Project - Artificial Sun “TOKAMAK” ⚛️☀️: A key to the energy challenge (ITER)

Python Nuclear Fusionn

DL Project - Mushroom Classification Challenge 🍄

Deep Learning TensorFlow CNN

Key Skills

My main areas of expertise are :

Data Science & Data Engineering

Collect, explore, process, transform and analyze large-scale data to extract insights and drive intelligent decision-making via BI and AI tools.

Software Development

Design, develop and implement reliable, scalable software systems that meet operational support and business requirements.

Scientific Computing & Optimization

Develop computational models and optimization methods to solve complex problems and improve performance.

PMI (Project Management Institute)

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TOEIC 920/990

ETS

View Certificate

Address

France || Morocco

Email

ayoub.mnina5@gmail.com

Phone

(+33) 6 05 82 53 95 || (+212) 7 23 76 10 39