Academic Projects

Engineering School – Final Year (2020-2021)

A collection of projects completed during my final year of engineering school (M2 β€” second year of Master’s), covering machine learning, data visualization, statistical analysis, and web application development.

🧠 Machine Learning & Statistics

NoteEye-Tracking Analysis

Technologies: R, Statistical Modeling, Signal Processing

Analysis of eye-tracking data to understand visual attention patterns. This project involved processing gaze data, computing fixation metrics, and applying statistical methods to draw insights from visual behavior experiments. We have conducted the project from the protocol development to the data analysis and the report writing with data harvesting using Tobii Pro Lab software and statistical analysis in R.

View on GitHub

NoteMachine Learning Project

Technologies: Python, Scikit-learn, Pandas, NumPy

CautionπŸ“… M1 Project

This project was completed during the first year of Master’s degree (M1), not during the final year.

A comprehensive machine learning project covering the full ML pipeline: data preprocessing, feature engineering, model selection, hyperparameter tuning, and evaluation. Applied various algorithms including regression, classification, and ensemble methods.

View on GitHub

NoteCo-Inertia Analysis

Technologies: R, Multivariate Statistics, ade4

Implementation and application of co-inertia analysis methods for studying relationships between two data tables. This project explored coupling structures between datasets using factorial methods. Presentation of the project with xaringan html slides.

View on GitHub

πŸ“Š Data Visualization

TipInteractive Visualization Project

Technologies: R, JavaScript, HTML/CSS

Development of interactive data visualizations to communicate complex information effectively. Focus on user experience, storytelling with data, and creating engaging visual narratives.

View on GitHub

🌐 Web Applications

ImportantShiny Web Application (M2)

Technologies: R, Shiny, shinydashboard, ggplot2

Development of an interactive web application using R Shiny for data exploration and visualization. The application provides dynamic filtering, real-time computations, and responsive visualizations.

View on GitHub

πŸ”§ Data Engineering

WarningRedis Database Project

Technologies: Redis, Python, NoSQL

Implementation of a data solution using Redis, an in-memory data structure store. This project covered key-value operations, data persistence, caching strategies, and real-time data handling.

View on GitHub

Skills Developed

Languages

  • R
  • Python
  • JavaScript
  • SQL

Frameworks & Tools

  • Shiny / shinydashboard
  • Scikit-learn
  • ggplot2
  • Rmarkdown

Methods

  • Machine Learning
  • Multivariate Statistics
  • Data Visualization
  • NoSQL Databases
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