Main areas of interest: machine learning, data mining, information retrieval, natural processing language and other related areas in Data Science.I like using statistics and graph algorithms to look at data because this makes possible to make predictions and proof that some beliefs are correct or wrong. I really like machine learning, data mining and information retrieval and other data science subareas.I like learning new technical things and I can do it fast. I'm open to learn about a wide variability of business because that increase my knowledge about the world, but not just that.I'm coursing a master degree in computing at IME-USP and doing the last course in 2nd semester in 2018. My project is about analyzing Brazilian Supreme Court decisions data and finding useful patterns that may explain how decision criterias works, what are the court's priorities and so on. So, some thing I do in this project are analysis of the robustness decision network, analysis in which decisions a minister-rapporteur has his vote defeated in the final decision in a prosecution, etc.Code that I'm using on this project can be found at: https://github.com/jacksonjos/analise-juridicaMy final graduation project is about classifying tweets to know if they are a Virtual Security Alert and involves Supervised Machine Learning and Information Retrieval. This work is called "Identifying cyber security threats on social networks". More details on Project's section.You can take a look at my academic profile click at: http://lattes.cnpq.br/0800394031911735(Profile last updated in November 2018)