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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

Mauro Luzzatto github stats

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 icon algorithmic-explanations

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

    explainy icon explainy

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

    legal-entropy icon 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

    metricflow icon metricflow

    MetricFlow allows you to define, build, and maintain metrics in code.

    music-flow-api icon 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

    q-learning-demo-play-nchain icon q-learning-demo-play-nchain

    This repository contains a Jupyter Notebook with an implemenation of a Q-Learning Agent, which learns to solve the n-Chain OpenAI Gym environment

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