Hey! I am Mauro Luzzatto

I am a Data Scientist/Data Engineer from Switzerland. I currently live and work as a Data Engineer in Stockholm, Sweden

Interests

Data Engineering, the modern data stack, and in the question on how to build a successful data infrastructure
Data Science, NLP, and the effects of Data Science on our society
Software Engineering best practices, such as testing, documentation, readable code and code reviews
Cloud computing

Projects

explainy a Python library for generating machine learning model explanations for humans

Technologies

🚀 Data Science: Python (Scikit-Learn, PyTorch, TensorFlow, Pandas, Numpy), SQL

💻 Data Engineering: dbt, Snowplow, BigQuery, PySpark, Airflow

⚡ Web Development: FastAPI, TailwindCSS, htmx, jinja

🏗️ DevOps: Git, Docker, Github Actions, Terraform (basics)

💬 NLP: Gensim, Spacy, Huggingface

📈 Data Visualization: Looker, Streamlit

☁️ Cloud:

GCP (Certified Professional Data Engineer)

AWS (AWS Solution Architect Associate, Machine Learning Specialty)

Azure (AZ-300)

Mauro Luzzatto's Projects

algorithmic-explanations

This project uses algorithms from Machine Learning Explainability to generate automated text explanations – Work in Progress

audio-ai-with-assemblyai-course

Build an Audio AI App with Python and AssemblyAI Course

explainy

explainy is a Python library for generating machine learning model explanations for humans

fastapi-vue

Single Page App with Flask and Vue.js

learn-tictactoe-through-self-play

This repository contains a Q-Learning algorithm that learns to play TicTacToe through self-play.

legal-entropy

Python code developed for the paper "Entropy in Legal Language" by Friederich, Luzzatto, Ash published in the Natural Legal Language Processing Workshop 2020

lyrics-translator

🎵 LyricsTranslator is a Python library for automated lyrics translation

music-flow-api

MusicFlow is an music recommender API that use the Spotify's API to predict the number of future streams of song using the Spotify audio features and track metadata