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victorpiana/README.md

Hi 👋, I'm Victor Piana

Data Scientist & AI for Business (X-HEC) | Computer Science Engineer (UTBM)

  • 🎓 Education: MSc Data Science & AI for Business @ École Polytechnique & HEC Paris (X-HEC) · Engineering Degree in CS @ UTBM
  • 🎯 Internship Availability: Looking for a 16+ week internship starting March 22, 2027
  • ⚙️ Focus: Machine Learning, Predictive Modeling, A/B Testing & Data-Driven Decision Making
  • 🛠️ Tech Stack: Python (scikit-learn, pandas, NumPy, Matplotlib), R, SQL, Big Data (Spark, Hadoop), ETL (Talend, Airflow), Docker, Looker Studio
  • 💼 Past Experience: Data Engineer Intern @ Sopra Steria (CAC 40 HR Data Hub) & bsport (Barcelona, Oscar Award 2024)
  • 💬 Ask me about: Machine Learning, Predictive Analytics, A/B Testing, or Data Pipelines
  • 📫 Reach me: victor.piana@polytechnique.edu | LinkedIn
  • ⚡ Fun fact: Pianist since age 6, Strength training for 5+ years, lived in Spain & Argentina 🇪🇸🇦🇷

Core Stack:

python pandas numpy scikit-learn r postgresql spark docker git linux

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  1. ml-pipelines-optuna-skrub ml-pipelines-optuna-skrub Public

    Supervised ML pipelines, custom KNN classifier from scratch, Optuna Bayesian HPO, and fuzzy string encoding with Skrub | MSc Data Science @ École Polytechnique & HEC Paris

    Jupyter Notebook

  2. logistic-regression-from-scratch logistic-regression-from-scratch Public

    Vectorized Logistic Regression from scratch, Optimization Geometry, Medical Odds-Ratios & MNIST Spatial Interpretability Maps | MSc Data Science @ École Polytechnique & HEC Paris

    Jupyter Notebook

  3. timeseries-energy-spectral-analysis timeseries-energy-spectral-analysis Public

    Household Energy Consumption Time Series Analysis, Ridge Conditioning, Marcenko-Pastur Spectral Law & Power Method | MSc Data Science @ École Polytechnique & HEC Paris

    Jupyter Notebook

  4. tps-python-maths-visuelles tps-python-maths-visuelles Public

    Visual Mathematics: Dihedral Group Symmetries, 2D/3D IFS Fractals & Hamiltonian Quaternion SO(3) Rotations | UTBM CS Engineering

    Python

  5. python-data-science-foundations python-data-science-foundations Public

    High-Performance Python & NumPy Numerical Foundations for Data Science: Memory Mutability, IEEE 754 Precision & Vectorization Benchmarks

    Jupyter Notebook