1. Statistics Ph.D., focused on Bayesian Variable selection and Functional Data Analysis 2. Research and study focused on Machine Learning, Bayesian high dimensional variable selection, Bayesian classifier, Functional Data Analysis, Predictive Modelling, Deep Learning 3. Expertise in Statistical/Machine Learning methods: Predictive Modeling, Forecasting model building, Unsupervised Learning (KNN, model based clustering, K-means), lasso/ridge/elastic net penalization, Boosted Machine Learning algorithms, Decision Tree, Random Forrest, Deep Learning (Feed-Forward Networks, CNNs, RNNs, LSTMs with PyTorch). 4. 10 years of Professional Experience 5. Programming language: Python