Data scientist and recovering physicist with 4+ years as an applied Data Scientist working in cybersecurity and marketing analytics, following 8+ years at the cutting edge of MRI research. I define and solve complex business problems and deliver insights and solutions that are clearly described, readily actionable, and trustworthy to stakeholders at all levels.# MY APPROACH TO WORKI am a life-long learner who thrives on solving challenging problems and creating useful tools and insights that deliver value. I believe that a good team is greater than the sum of its parts, and I strive to always create such partnerships whether as a physicist collaborating closely with doctors at the cutting edge of medical imaging, or now as a data scientist tackling the perennial cybersecurity problem of unknown threats concealed in network traffic.I believe that carefully identifying the right question and clear communication of a useful solution are equally as important as the problem solving that occurs in between.# MY TOOL BELTMy go-to tools as a data scientist are in Python, including scikit-learn, networkx, NumPy, pandas, matplotlib, seaboarn etc. I have developed and deployed internal applications in Streamlit, allowing stakeholders to interact with and evaluate model outputs.I have experience in both AWS and Google cloud environments, and extensive experience manipulating and analyzing data using SQL (Google Bigquery, AWS Redshift). I have 12+ years experience working in Linux and MacOS environments, using command line tools to manipulate data and interact with remote systems.I am constantly experimenting with other libraries, visualization tools, and languages, including deep learning libraries like Keras, PyTorch and the fastai2 library.# OUTSIDE OF WORKI am a photographer, occasional banjo player, and lover of cooking, hiking, and spending quality time with friends, family, and my dogs.