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fra-mari/README.md

Hello there! ๐Ÿ˜ƒ

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

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  1. Golang_Web_Page_Analyzer Golang_Web_Page_Analyzer Public

    A little web-app entirely written in Go, aiming to illustrate the potential of concurrent programing for web scraping.

    Go

  2. The-Karl-Marx-Press-Review The-Karl-Marx-Press-Review Public

    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!

    Jupyter Notebook 1 1

  3. NYTimes_Docker_Pipeline NYTimes_Docker_Pipeline Public

    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.

    Python

  4. Markov_Chain_Supermarket Markov_Chain_Supermarket Public

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

    Jupyter Notebook

  5. Two_Movie_Recommenders Two_Movie_Recommenders Public

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

    Python