Apaixonado por programação, jogos, arquitetura de software e afins. ©

Someone once told me, "If you have a question, it is very likely that many also have it", therefore you should always be willing to ask after doing a little research. Data analysis since March 2019 to today, with daily work on data preparation, data visualization, machine learning and reporting. Well organized with the ability to manage multiple workloads and consistently meet deadlines. Tools and languages: Python, SQL Server, Oracle SQL, Power BI, Linux, Git, GitHub, Java, React TS, high performance computing. Data science: supervised machine learning algorithms, statistics, time series prediction, Business Intelligence, Text Mining, Cross Validation, Support Vector Machine, Decision Tree, Random Forest, Xtreeme Gradeint Boosting, natural Language processing, sentimental analysis and Deep Learning with Convolutional Neural Networks, data modeling, TensorFlow, Pandas, SciPy, PCA, Numpy, Jupyter Notebook. ©