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psem33241/README.md

👋 Welcome to My GitHub Profile!

Hi, I'm Paul Stephane, a petroleum engineer transitioning to data analysis. With a passion for problem-solving and data-driven solutions, I combine my technical expertise and programming skills to create impactful projects.

💻 Technical Skills

  • Programming Languages: Python, SQL, HTML, CSS, JavaScript
  • Data Visualization: Power BI, Matplotlib, Seaborn, Plotly
  • Data Libraries: Pandas, NumPy
  • Databases: MySQL
  • Machine Learning: Scikit-learn
  • Other Tools: Git, Jupyter Notebook, Excel
  • Languages: French, English

🤝 Soft Skills

  • Problem-solving
  • Data analysis
  • Organization and planning
  • Adaptability and autonomy
  • Teamwork and collaboration

📊 Projects

1. CV Web Development

  • Description: Designed a personal online CV using HTML, CSS, and JavaScript. This project highlights my career, skills (Python, SQL, Power BI, and introductory ML), and provides downloadable CVs in French and English. The website's design, while minimalist, evolves as I continue exploring web development.
  • Tools: HTML, CSS, JavaScript

2. Netfix Movies

  • Description: Built a personalized movie recommendation system for a local cinema. Leveraged data from IMDb and TMDB, analyzed cinema consumption trends, and implemented machine learning algorithms to create a user-friendly app for tailored recommendations.
  • Tools: Python, Pandas, Scikit-learn, TMDB API

3. Toys & Models Dashboard

  • Description: Developed an interactive dashboard for a company specializing in model and toy sales. Focused on sales, finances, logistics, and HR, providing insights through key performance indicators (KPIs) and dynamic data visualizations.
  • Tools: MySQL, Power BI

4. FR-Carburants

  • Description: A personal project designed as a challenge before starting my data analyst training. Created a functional dashboard to analyze fuel prices, gaining hands-on experience in Python, SQL, and business intelligence tools. The project demonstrates its potential for transport companies.
  • Tools: Python, SQL, Power BI

💼 Experiences

Check out my LinkedIn for more details about my career! 🌟 Click Here 🌟

🎓 Education

1. Data Analyst - Wild Code School

  • Duration: 5 months (2025)
  • Description: Intensive training in Python, SQL, Power BI, and machine learning, focusing on data collection, transformation, visualization, and predictive modeling.

2. Petroleum Engineering - Université de Pau et des Pays de l’Adour

  • Degree: Master’s Degree
  • Description: Expertise in reservoir engineering, production optimization, and technical problem-solving.

🌟 Explore my repositories to learn more about my work!

Popular repositories Loading

  1. streamlit_album_photos streamlit_album_photos Public

    quête de la Wild Code School sur streamlit

    Python

  2. psem33241 psem33241 Public

    Config files for my GitHub profile.

  3. psem33241.github.io psem33241.github.io Public

    Repository of my web resume

    HTML

  4. FR-CARBURANT FR-CARBURANT Public

    MON PROJET 0 DATA ANALYSE

    Jupyter Notebook

  5. TOYS_-_MODELS_wild_code_school TOYS_-_MODELS_wild_code_school Public

    Premier projet de la wild code school

  6. NETFIX_systeme_de_recommandations_de_films NETFIX_systeme_de_recommandations_de_films Public

    ce repository heberge la version complète de l'application NETFIX

    Python