Data science professional with experience in data mining and quality, machine learning, reporting, and relational database. Building recommendations, statistical and algorithmic models. Proficient in an assortment of technologies such as python, R, Hadoop, Power BI, DAX, Tableau, Excel, supervised and unsupervised machine learning, predictive and descriptive analysis, forecasting, classification, clustering, K-means, KNN, time-series analysis, vector space modeling, feature selection - SFS, SBS, wrapper and filter approach, NLP, XGboost, Graphlab, and artificial neural networks. Ability to absorb new concepts, problem-solving skills with excellent interactions with individuals.