Fabio S.

Machine learning engineer with fundamentals in machine learning algorithms (neural networks, dimensionality reduction, feature utilization and extraction, and clustering), programming (Python, R, Java), statistics, mathematics, and computer vision. Backed with 15+ years of experience in development and implemenation of high loaded, complex systems and machine-learning concepts (3+ years). Working with data including data gathering, understanding it, cleaning, normalizing and extracting in a usable format.Skillset & Expertise: * Background in deep learning, machine learning, natural language processing * ML frameworks: Tensorflow, Keras, PyTorch * Python: Scikit-Learn, Pandas, Scipy, Numpy,Matplotlib, Seaborn, XGBoost, StatsModels * R: caret, ggplot, Ggally, gridExtra, data.table, dplyr, reshape, rmarkdown * Statistical Analysis: hypothesis testing, z-test, t-test, ANOVA, chi-squared test * Fintech knowledge (in progress) * Experience with Big Data environment * SQL * Data Mining