As a recent graduate from the University of Chicago with a BA in Economics and a specialization in Data Science, I have a strong foundation in quantitative and analytical skills, as well as a keen interest in finance and technology. I am currently working as a Data Science Consultant, applying modern data science techniques and tools to provide KPI analysis and discuss possible machine learning applications to businesses and individuals. I also tutor part-time with a specific emphasis on math and quantitative reasoning for students across grade levels, including standardized test preparation and AP courses. Previously, I was as a Portfolio Administrator at Parametric, where I provided vital portfolio reconciliation solutions through data-driven processes and knowledge of underlying dynamics of portfolio management. I also optimized trading fluidity through account analysis and monitored daily communications from both internal and external data sources. Additionally, I have experience as a research assistant at the TMW Center for Early Learning + Public Health, I worked on analyzing and organizing metadata associated with audio recordings used as training samples for wearable device technology. I also have experience as a private tutor for standardized test preparation and college application consulting. My career interests include the intersection of finance and technology, where I hope to apply data science skills to add value in a role at an organization. I am motivated by solving complex problems, learning new skills, and contributing to positive outcomes. I am looking for roles that allow me to leverage my data analysis and economics background while working creatively and productively with others.