PhD graduate in Chemical and Biomolecular Engineering from the University of Pennsylvania. My thesis research was conducted using molecular simulations on supercomputing clusters to generate large sets of statistical data and construct models to calculate outcomes of scenario based assumptions. I have developed strong dataset analysis skills in Python through analysis of molecular simulations and worked in close collaboration with experimental partners. I have excellent programming capabilities in Python and git with lesser experience in several other computer languages, including C/C++ and SQL. I have a strong interest in data science, data engineering, machine learning, statistical techniques, and database development. Pursuing full-time employment as a data scientist in manufacturing, healthcare, technology, or business.