I recently graduated with a Masters degree in Analytics from University of San Francisco.
During my MS studies I have gained experience with supervised and unsupervised machine learning, statistical modeling, distributed computing, data management and data visualization. I am comfortable with taking projects through all stages of analysis, from data wrangling to the statistical modeling and presentation of results to the stakeholders.
During my internship at AT&T, I completed a project involving a large-scale graph mining and analysis by utilizing distributed computing. I built scalable data pipelines using Apache Pig, Hive and Python, processing over 400 Billion records, and implemented...