Bachelor's Degree @
University of Maryland College Park
Data Scientist @ I work on algorithms for merchandise product development. From August 2015 to Present (3 months) San FranciscoFellow @ At Insight I developed a web app called the Tipping Point that alerts you when a Congressional bill in a topic you care about is likely to be a close call (www.tippingpoint.pw). The prediction was done
Data Scientist @ I work on algorithms for merchandise product development. From August 2015 to Present (3 months) San FranciscoFellow @ At Insight I developed a web app called the Tipping Point that alerts you when a Congressional bill in a topic you care about is likely to be a close call (www.tippingpoint.pw). The prediction was done using a random forest with data from the Sunlight Foundation API and other sources. Tools included Python, Pandas, Scikit-learn, MySQL, AWS, Flask, and Bootstrap. From June 2015 to July 2015 (2 months) Palo AltoFreelance Data Scientist @ At TransitScreen, I analyzed 50 GB / four years of bikeshare data from Washington DC to provide predictions of bike availability in the immediate future (< 10 minutes). I did this using a Postgres RDS in AWS, connected to an EC2 instance to perform Python analysis. I used Pandas, Statsmodels, and Patsy packages to calculate a global loglinear Poisson fit to the data, but ultimately found superior prediction with more granular statistics. From March 2015 to May 2015 (3 months) PhD Research: Spectroscopist @ I was the project manager for four years of a team that invented a promising new technique in nonlinear laser spectroscopy. The method gained attention in the chemistry community through being an Editors' Choice article, being featured in C&E News, and winning a Society for Applied Spectroscopy award. It resulted in three first-author papers as well as a patent on the use of the technique for imaging.
Though my research was primarily experimental, I corroborated results with significant quantum mechanical modeling and data analysis/visualization in Python. This involved the use of traditional scientific packages as well as object-oriented programming and occasional parallelization of the code onto the department's cluster.
During this time, I also assisted in grant preparation and made budget decisions. I performed this research as a National Defense Science & Engineering fellow. From August 2010 to October 2014 (4 years 3 months) University of Wisconsin - MadisonTeaching Assistant @ I spent 2 fall semester as a teaching assistant for Chemistry 115, UW-Madison's advanced freshman chemistry course. This course teaches quantum chemistry and other physical/general chemistry on an advanced undergraduate / graduate level. It also involved teaching Matlab and Mathcad. From August 2009 to December 2010 (1 year 5 months) UW - MadisonAtmospheric Chemist @ As a part of the Keutsch group, I developed a fiber laser instrument for the detection of trace atmopsheric gases critical to understanding climate change and air pollution. I also assisted in modeling data from field campaigns in Matlab, taking into account both chemistry and meteorology. From November 2009 to August 2010 (10 months) University of Wisconsin - Madison
Doctor of Philosophy (Ph.D.), Physical Chemistry, GPA 3.80 @ University of Wisconsin-Madison From 2009 to 2014 Bachelor's Degree, Chemistry (minor Math), GPA 3.89 @ University of Maryland College Park From 2004 to 2008 Erin Boyle is skilled in: Physical Chemistry, Spectroscopy, Python, SQL, Data Analysis, Data Science, Amazon Web Services..., Statistics, Research, Machine Learning, Physics
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