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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

Home Page: https://musicflow.link/

Python 90.25% Makefile 0.70% Dockerfile 0.33% CSS 4.30% HTML 4.42%
aws aws-lambda aws-sam fastapi machine-learning mlops spotify-api

music-flow-api's Introduction

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)

    • music-flow-api's People

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