πŸ‘‹ Available for internships

Digital Technologies
Student

Building data-driven solutions and crafting clean code. Currently studying at Epitech Paris, passionate about machine learning and analytics.

Rugema Epiphane

Turning data
into insights

I'm Rugema Epiphane, a Digital Technologies student at Epitech Paris. I love working with data β€” from cleaning and analysing datasets to building machine learning models that solve real business problems.

My projects span from exploratory data analysis and NLP to full-stack development and collaborative team projects using Git and Agile methods. I'm constantly learning and improving my craft.

6+
Projects completed
3+
Programming languages
2026
studies on going till 2028

Featured Projects

NextBuy Analytics

Data Analysis

NextBuy Analytics

Exploratory data analysis on grocery orders dataset. Reorder analysis, co-purchase pairs and customer insights.

πŸ’‘ What I learned: Data cleaning, pandas groupby, matplotlib visualizations and extracting business insights from raw data.

View project β†’
Tardis project

ML

Tardis project

Machine learning project on the Tardis dataset. Using modelels, features and data cleaning techniques to be able to determine and predict all that is needed to know about the train trasportation system in France.

πŸ’‘ What I learned: Feature engineering, model selection, train/test splitting and evaluating ML model performance.

View project β†’
Hack & Juice

Hack & Juice

Hack & Juice

A project about hacking the repo consists of full description of tools and techniques used to be able to hack and extract needed information from a given target(website).

πŸ’‘ What I learned: Web security concepts, penetration testing tools and ethical hacking techniques.

View project β†’
alice in wonderland

tokenization, NLP, Transformers,

Alice in Wonderland NLP Project

a project about tokenization and NLP using transformers to be able to extract needed information from the book Alice in wonderland and be able to answer questions about it using the trained model.

πŸ’‘ What I learned: Text preprocessing, transformer models, and natural language understanding.

View live site β†’

What I Learned &
How I Improved

πŸ“…

Semester 1

Started learning Python and data manipulation with Pandas. Discovered how to clean messy datasets and build basic visualizations with Matplotlib.

Python Β· Pandas Β· Matplotlib
πŸ“ˆ

Semester 2

Dived into machine learning with Scikit-learn. Built my first predictive models and learned how to evaluate them properly using metrics like ROC-AUC.

Scikit-learn Β· ML Β· Model Evaluation
🀝

Team Projects

Learned how to collaborate using Git and GitHub. Managed branches, resolved merge conflicts and worked in an Agile team on real projects.

Git Β· GitHub Β· Agile
🌐

Web Development

Built my first websites using HTML, CSS and Bootstrap. Learned responsive design principles and how to create clean user interfaces.

HTML Β· CSS Β· Bootstrap

What I Know

My Skills

🐍

Programming

  • Python
  • JavaScript
  • HTML / CSS
  • SQL
πŸ“Š

Data Science

  • Pandas & NumPy
  • Matplotlib & Plotly
  • Scikit-learn
  • Jupyter Notebook
πŸ€–

Machine Learning

  • Supervised Learning
  • NLP & Text Analysis
  • Topic Modeling
  • Model Evaluation
πŸ› οΈ

Tools

  • Git & GitHub
  • VS Code
  • Bootstrap
  • Linux / Bash

β€œThe pace of progress in AI is incredibly fast.”

β€” Elon Musk

Let's work
together

I'm currently looking for internship opportunities. Whether you have a question or just want to say hi, feel free to reach out!

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