If loving data is wrong, I don’t want to be right! With a little more than three years of experience with data science, I am fluent in a wide variety of data management systems ranging from traditional options like Excel to SQL and Hive. Furthermore, I am proficient Python (pandas,scipy, scikit-learn, numpy, tensorflow) and QlikSense/Tableau, which has allowed me to design and develop data science models, metrics, reports, analyses, and dashboards to drive key decisions in business and in research. I have completed several supervised and unsupervised machine learning projects involving, data cleansing, feature engineering, recommender systems, clustering, and natural learning processing (NLP).