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• 🇪🇸 Living in Madrid and working as a data scientist.
• 🇦🇷 I was born in the world's most southern city: Ushuaia
• 🌱 Always trying to improve my programming skills.
• 👯 Fun fact: I was featured in a french newspaper.

• Working as a Data Scientist in Unlimiteck Company Builder in Madrid. Work as a Python programmer developing Machine Learning models to solve Computer Vision problemas, as well as working on the backend to make sure the flow works flawlessly.

• Graduated as a telecommunications engineer in 2019.
• Got a scolarship to finish my studies in France, where I spent six months working on some machine learning projects and my thesis.
• Currently doing a masters degree in Madrid (Big Data)
• I have certified a C2 level in english and a B2 level in french.

• Dataquest (all the four paths)
• MIT MicroMasters Program in Statistics and Data Science(Probability, Statistics, Machine learning with Python and Data analysis with R)
• University of Michigan - Applied Data Science with Python Specialization

These projects are from when I started learning before I landed my first job with Python and don't necessarily abide by the best practices out there.

Face recognition with a Raspberry Pi Camera: Using a raspberry pi and its camera, you can add people to a dataset that later will be used to recognized those in the dataset in order to operate a door (in this case it's replaced by a LED connected to the output). The system is accessed through an interactive menu through the linux terminal. Programmed using mostly OpenCV, Dbil and Imutils

Traffic sign recognition.Working with the German Traffic Sign Benchmark dataset, designed a convolutional neural network that's able to properly recognize the different traffic signs with good accuracy. Done mostly with Keras.

Whatsapp chat analyzer. Whatsapp allows you to export your chat into a txt file. Using this file, we can do some fun data analysis to get the most relevant information about our chats.

Flight delay predictor. Using the "2015 Flight Delays and Cancellations" dataset, we analyze data about flights in the US. With this information, we want to be able to predict whether a flight will be delayed or not and on top of that, do some data analysis.

toPNG. A simple python script that turns converts pictures into pngs turning the white elements transparent.

Covid Analysis Argentina. Using the information provided by the argentinian government, an analysis of the covid situation in Argentina, with some interactive maps and several graphs.

CV:
English | Spanish