SKILLS

Programming Languages: Python, SQL
Tools: Pandas, NumPy, Sklearn, Matplotlib, statsmodels, PyMC3, git, Google Colab, AWS, Tableau
Methods: statistical modeling, bayesian inference, hypothesis testing, clustering, supervised machine learning, time series forecasting

EXPERIENCE

Data Scientist,​ Nordstrom, ​Seattle, WA

October 2020 - Present

Data Science Fellow, Insight, ​Seattle, WA

May 2020 - October 2020
  • Built an end-to-end, python-based web application aiming to serve a diverse set of consumers find the best-rated cosmetics for their skin tone
  • Scraped over 40k product reviews to train a random forest algorithm to predict personalized, complementary product colors
  • Deployed model through an interactive dashboard powered by Streamlit, hosted on Amazon Web Services

Data Analyst, ​ North American Nanohertz Observatory for Gravitational Waves​

May 2019 - August 2019
  • Enhanced signal-search pipelines performing data analysis on 15+ years of radio telescope data to detect the influence of long-period gravitational waves from supermassive black holes
  • Used cluster computing to explore 100+ dimensional statistical models and constrained strength of gravitational signals from resulting posterior distributions; used these limits to infer black hole binary population properties
  • Diagnosed and tailored signal search pipelines to decouple correlated time signatures and mitigate false alarms

Postdoctoral Research Associate, ​Center for Gravitation, Cosmology, and Astrophysics, ​Milwaukee, WI

May 2019 - August 2019
  • Adapted binary black hole simulation to incorporate physics of low-mass binaries; results forecast first gravitational-wave impulse detection by next-generation instruments
  • Collaborated with >20 scientists to produce 8+ publications

Graduate Research Associate, ​UW-Milwaukee, ​Milwaukee, WI

September 2012 - May 2019
  • Developed accelerated metric to evaluate evidence of stochastic gravitational-wave signals in pulsar timing data sets; retrieves outcomes in minutes as opposed to weeks
  • Led student workshop at collaboration conference covering data analysis theory and applied protocol for model selection and parameter estimation
  • Spearheaded 5+ presentations through science-cafe series and created translation strategies to share abstract physics concepts with non-expert audiences of > 100 in metro-area Milwaukee

EDUCATION

University of Wisconsin-Milwaukee 2019
Ph.D., Astrophysics
University of Wisconsin - Milwaukee 2012
B.S., Physics