Mathias Gatti

I work daily with Python, this is my favourite language. I've built hundreds of APIs, web scraping scripts and machine learning classifiers with it. I also contribute frequently to open source projects like FoxDot (https://github.com/Qirky/FoxDot/graphs/contributors)

I develop machine learning and data science products regularly. You can check some works here: Neuroscience experiments (https://github.com/mathigatti/Emotiv-Experiments) Small data streaming website (https://github.com/mathigatti/WeatherSensorStreamer) Testing different machine learning algorithms for spam classification (https://github.com/mathigatti/AA-TP1) Clustering example (https://www.codementor.io/mathiasgatti/the-beauty-formula-identifying-interesting-patterns-automatically-based-on-aesthetic-metrics-basic-clustering-example-with-scikit-learn-xka5d6do8)

I scrap websites frequently in order to generate new datasets, extract useful information from websites or create programs that interact with the web. You can check some related works here: Midi to voice synthesis (https://github.com/mathigatti/midi2voice) Normalized google distance implementation (https://www.codementor.io/mathiasgatti/python-implementation-of-normalized-google-distance-simple-web-scraping-example-vrwwu5w58)

As a software engineer, in MercadoLibre Billing team, I managed the databases that stored all the sales information of the number one latin america e-commerce site. I usually developed Java products to manage SQL databases through Hibernate, at the same time I frequently used complex queries to extract useful data, fix and detect bugs. I have also used Redis, MongoDB and other NoSQL databases in several projects.