Mathematician and Data Scientist. Wide domain in statistics and modeling, Machine Learning, Data Mining, Data Analysis, Big Data. Finding the link between Math and real life problems is what I do as a Mathematician, as a Data Scientist I develop smart solutions that find patterns and earn valuable knowledge from Data.
Calculus, Probability and Statistics, Topology, Functional Analysis, Differential Equations, Algebra.
Python for Data Science: ScikitLearn, Numpy, TensorFlow, MatplotLib, Bokeh. R : Tidyverse, Plotly, ggplot2, Shiny, RMarkdown, e1071, C5.0.
Supervised Learning: Classification, Regression. Unsupervised Learning: Clustering, Association Rules, PCA. Deep Learning : Feed Forward Networks.