francescomariottini,Francesco Mariottini,github

Hey, I am Francesco 👋☕. Bonjour, je m'appelle Francesco 👋🍷. Hallo, ik heet Francesco 👋🍺. Ciao, io sono Francesco👋🍝.

Passionated in sustainability 🌍♻ long time before James Cameron's Avatar and Greta Thunberg.

Continuously improving as data scientist 📈🔍 and Python developer and actively looking for colleagues to collaborate with on sustainable projects. In September 2023 I submitted my PhD thesis on impact of irradiance measurement quality on photovoltaics energy yield.

👯 I’m looking to collaborate on data tools to ease sustainable projects and analysis.
💬 Ask me about data processing & quality assessment pipelines (e.g. Pandas, NumPy & PostgreSQL) on GitHub or Linkedin.
🎲 I like to create and improve for the sake of other, e.g. updating board games rules.
🌳 I like to walk, run, bike and do sport (e.g. swimming in the nature), possibly with other people.
🎨 I like painting miniatures to relax before going to bed.

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Francesco Mariottini's Projects

belgium-prices-prediction

The real estate company "ImmoEliza" ask you to create a machine learning model to predict prices on Belgium's sales.

challenge-api-deployment

The real estate company "ImmoEliza" is really happy about your regression model. They would like you to create an API to let their web-devs create a website around it.

challenge-collecting-data

A tool to scrap real estate sales data from Belgium to obtain a valuable insight of the real estate market.

pvlib-python

A set of documented functions for simulating the performance of photovoltaic energy systems.

residential-real-estate-analysis

The real estate company "ImmoEliza" wanted to create a machine learning model to predict prices on Belgium's sales. A complete analysis and interpretation of the dataset was provided.