Programmer focused on understanding how data can be used to solve complex issues with meaningful solutions. Seeking opportunities to wrangle, analyze, and depict intricate datasets utilizing Python, SQL, JavaScript, and Excel.
I grew up in a town called Hingham, about 20 minutes south of Boston. I attended school at the University of Richmond in Virginia, and moved to Washington, DC after graduation.
I'm a huge soccer fan (Go Liverpool!) as well as a supporter of all Boston sports teams. I've been to 17 European countries and hope to explore more of the world in the future.
Classified songs by genre based on lyrics. Utilized Multinomial Naive Bayes and Scaler Vector Machines
Created an interactive dashboard utilizing D3, which analyzes 120 years of olympic data
Extracted data from the BLS API and created visualizations with Matplotlib comparing the average annual expenditures among differing demographics in the US
While working for Perspecta, I was a contractor for the Executive Office for US Attorneys. With no prior telecom experience, I quickly learned the ins and outs of their VoIP phone system, and served as one of two service analysts for their 30,000 end users. Within 6 months, I became the sole analyst for the United States Marshal Service and provided reports and analysis directly to their CTO.
During my experience as a research assistant for the department chair, Dr. Elizabeth Crawford, I assisted in the publication of two works. The first was the development of a device which used electromyographic (EMG) signal as a computer input device. This device could measure subtle facial responses when a participant viewed stimuli. The second work investigated the central tendancy bias for the memory of emotional facial expressions. I was the lead programmer for our research group, and developed the manner in which the stimuli were presented to participants. I also assisted in creating the facial morph stimuli, that the participants viewed.
A half-year program focused on applying technical programming skills in Excel, Python, JavaScript, SQL Databases, Web Scraping, ETL, and Machine Learning
During my time at Richmond, I majored in cognitive science, while also minoring in math and computer science. The University of Richmond's rigorous curriculum gave me exposure to various technologies including, Java, SPSS, MatLab, SQL, C++, and Python.