Felipe T.

•Student of Atmospheric Sciences at IAG-USP. •Easy with communication, determination, pro-activity and teamwork •Learning Numerical Modeling with Differential Equations with “n” variables for Forecasting. •Good knowledge of Statistics, Probabilism and Data Analysis and Parameters. •Manipulation, treatment and visualization of data and time series in Python. •Knowledge of Numerical Calculation with applications in physics, in the Python language. •Knowledge of Data Science in Python (Pandas, xarray, netCDF, matplotlib and numpy). •Knowledge in developing Neural Networks using TensorFlow (linear/nonlinear, multiclass and binary regression). •Object Oriented Programming, development of classes and functions in Python and Java. •Project development and versioning in Git. •Linux shell, Java and C/C#. •Knowledge in Synoptic Analysis, identification of Highs, Lows (Cold and Hot), Troughs and Crests, Skew-T log P Thermodynamic Diagram and Thermodynamic indices. •Willing to learn, gain experience and go beyond my current knowledge.