Elizabeth Phillips is a skilled computational neuroscience PhD with expertise in data analysis and machine learning. With experience in big data wrangling and analysis, Elizabeth is adept in various tools such as Pyspark, SparkSQL, Redshift, pandas, seaborn, statsmodels, numpy, scipy, Scikit-learn, Xgboost, Pytorch, SparkML, and Periscope.

Currently, Elizabeth is working at Sense360 as a Data Scientist II, where she excels at identifying and communicating complex data problems and providing data-driven solutions. Her ability to diagnose and analyze big data sets makes her a valuable member of any team.

Elizabeth's expertise in data science, machine learning, and data visualization makes her a sought-after professional in the field of computational neuroscience. Her interests and skills in big data analysis and machine learning make her a perfect fit for organizations looking for data-driven solutions.