Hello, I'm

Alessandro
Casadei

MSc Data Science and Engineering Student

MSc student in Data Science and Engineering with strong foundations in statistics, machine learning and software development. Experienced in designing data pipelines and building RAG systems.

View Projects → Get in Touch

📍 Turin, Italy

Alessandro Casadei

Career

Professional Experience

Data Engineer

Telematica Informatica S.r.l. (Intesa Sanpaolo with Accenture) · Full-remote

Current Sep 2025 → Present

Designed Python/SQL pipelines for cleaning, reconciliation, and KPI generation on structured datasets. Implemented regression-based forecasting and validation checks ensuring reproducibility.

Python SQL Data Integration Forecasting Validation

Software Engineer

Telematica Informatica S.r.l. (Gruppo Centro Paghe) · Turin, Italy

Mar 2025 → Sep 2025

Developed Node.js services and REST APIs for workflow automation and dashboards. Built a retrieval-augmented generation (RAG) assistant using embeddings and FAISS for internal document querying.

Node.js REST APIs LLM RAG FAISS Embeddings

Work

Projects

Featured

News Classification Pipeline

End-to-end NLP classification using TF-IDF, logistic regression, and tree-based models with leakage-aware cross-validation and error analysis.

NLP Python TF-IDF Scikit-learn Classification
2026
⌥ GitHub →
Featured

Federated Learning Framework

Distributed neural network training (DINO VIT) with non-IID clients and experiment tracking via Weights & Biases.

Federated Learning DINO VIT W&B Distributed Systems
2025
⌥ GitHub →

Numerical Optimization Project

Implemented Modified Newton and Newton-CG methods, analyzing convergence and scalability.

Numerical Optimization Python Mathematics
2025
⌥ GitHub →

Background

Education

Ongoing Oct 2024 → Present

M.Sc. Data Science and Engineering

Politecnico di Torino ·Turin, Italy

Relevant Coursework: Machine & Deep Learning, Mathematics for ML, Numerical Optimization, Distributed Architectures, Deep NLP.

Sep 2021 → Mar 2025

B.Sc. Management Engineering

Politecnico di Torino ·Turin, Italy

Thesis: Markowitz Portfolio Optimization in Python: preprocessing, PCA-based analysis, efficient frontier and backtesting. Coursework: Statistics, Econometrics, Operations Research, OOP, Algorithms.

Certifications & Courses

Technical Skills

Languages

Python SQL JavaScript Bash

ML / Data

PyTorch scikit-learn Weights & Biases Spark pandas NumPy

Web & Tools

FastAPI Jinja2 React Tailwind CSS

Languages Spoken

Italian (native) English (C1) French (C1) Spanish (learning)

Let's talk

Get in Touch

I'm always open to discussing new opportunities, research collaborations, or just interesting problems in data science and ML.

@ alessandroocasadei@gmail.com ⌥ GitHub in LinkedIn

Response time

Usually within 48 hours.