Data Analyst and Biostatistician deeply interested in data interpretation and visualization through Machine Learning, Deep Learning, regression and different statistics-based techniques. Experienced in data cleaning and pre-processing (missing values imputation, data normalization, etc), predictive modelling and significant variables selection (XGBoost, Univariate, Multivariate, Stepwise and Lasso Regression), data visualization in R (ggplot2) and Python (Matplotlib and Seaborn), PCA, clustering methods (hierarchical clustering, KNN, K-means, K-medioids), construction of risk scores, etc. Highly motivated and seeking new challenges. Ambitious and committed. Always trying to outdo myself and acquire new skills. Looking for a company which allows and helps me to develop as a professional Data Analyst improving my competences in SQL, Python, PowerBI/Tableau, etc. If I do not yet have any of the competencies required for the position, please teach me! Looking forward to move abroad and learn a new language if necessary (currently studying French and German).