I'm Zeno Peracchione, a Mathematical Engineer from Politecnico di Milano. My studies were focused on Machine Learning and Statistical Learning, leveraging both classical statistics methods and modern architectures.

• Bachelor / Master of Science Mathematical Engineering at Politecnico di Milano

• Bayesian Inference for Marketing Mix Modeling:
  Designed a Bayesian model to evaluate the effectiveness of marketing channels and budget allocation. Applied Markov Chain Monte Carlo (MCMC) methods to estimate the impact of advertising strategies on sales and generated actionable insights for decision-making through posterior distribution analysis.

• Deep Learning for Blood Cells Image Classification:
  Trained Convolutional Neural Networks (CNNs) to classify blood cell images into eight different categories. Fine-tuned pre-trained models (e.g., ResNet, VGG) using transfer learning techniques. Improved classification accuracy through data augmentation and advanced preprocessing techniques.

• LinkedIn
• [email protected]

• Programming Languages: Python, C, C++, MATLAB, R
• Machine Learning Frameworks: TensorFlow, PyTorch, NumPyro
• Statistical Tools: SQL, RStudio, Git
• Other Tools: Jupyter Notebooks, LaTeX

• 🎞️ Favorite movie: The Intouchables, by Éric Toledano and Olivier Nakache
• 🎶 I'm passionate about Italian music and love exploring different genres and artists.
• ⚽ I enjoy playing calcetto (five-a-side football) and basketball, sports I often play with friends in my free time.
• 🎸 I enjoy playing the guitar and singing. I've even written a few songs with a friend.
• 🏋🏼 I consistently work out as a calisthenics and boldering enthusiast.

Enjoy my repositories! 🚀