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Hello there! 😃

About me

I'm Francesco, a programmer and a classicist based in Berlin, Germany .

Besides using Go to create and connect APIs for my work as a Back-end Developer, I have some experience in using Python to explore Machine Learning, by combining data science with linguistics, history and socio-anthropology.
I enjoy breaking the boundaries between disciplines and I am convinced that the key for our future lies in the combination of hard sciences and humanities. I like to learn something new every day.

I believe that:

  • Good understanding requires time, care, and collaboration
  • Every problem can be solved, provided that we tailor our tools on it and not vice versa
  • People form the most valuable Neural Networks of all
  • There is nothing so complex that it cannot be explained with a good story

Toolkit

The core components of my daily toolkit are:

SQLite Bash

Specifically for data science, I also use:

Where to find me

Github LinkedIn Academia

Francesco Mari's Projects

markov_chain_supermarket icon markov_chain_supermarket

A Monte Carlo simulation representing the daily behaviour of customers inside a fictional supermarket. Featuring a colourful and clear visualisation interface.

nytimes_docker_pipeline icon nytimes_docker_pipeline

A Docker pipeline which uses SQL and no-SQL databases as well as dedicated Python libraries for browsing among the most recent tweets from the New York Times and doing some NLP on them.

the-karl-marx-press-review icon the-karl-marx-press-review

Website to visualise a NLP project on text generation. A GPT-2 model re-trained to mimic as closely as possible the writing style of Karl Marx comments daily on the latest news from The Guardian!

two_movie_recommenders icon two_movie_recommenders

A webapp for recommending movies based on two models: collaborative filtering with non-negative matrix factorisation and k-nearest neighbours algorithm.

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