I'm a data science and machine learning professional with over nine years of experience conducting data analysis, machine learning, and communicating findings to leadership and stakeholders. I have a strong background in applied statistics and behavioral research methodology. I love hard problems and live for difficult challenges, especially where clever uses of data are a solution.
Jan 2019 — Present
I collaborate with software developers to build custom data solutions using supervised and unsupervised machine learning. I use Python, Scikit-Learn, Tensorflow, and Keras to build models based on trends, anomalies, and patterns in structured as well as unstructured data, with a focus on model deployment via Dockerized micro-services that are hosted on Amazon Web Services.
Jan 2018 — Dec 2018
I worked closely with researchers and product teams to develop new data products. These products included an online standardized video interview, where I built operational infrastructure using Python and trained machine learning models to score interviews, and a web-based tool that made recommendations to users about residency programs that were best-fit to their personal and academic characteristics.
Sep 2017 — Dec 2017
I collaborated with the marketing department at the University of Maryland, University College to build lead prediction models, analyze application and enrollment trends, and model the relationship between marketing spend and return on investment. I also design data schemas and created data visualizations and dashboards for clients.
Jan 2018 — Dec 2018
I supported research and development efforts to create new data-driven products and tools to help students, advisors, residency directors, and other constituents in the graduate medical education admissions and selection space to make smarter, more targeted decisions.
Feb 2011 — Sep 2016
I supported research on the MCAT exam by managing research, data analysis, and reporting. I led the development of multiple published statistical and technical reports, presentations, and research briefs, as well as communicated findings to leadership, constituents, stakeholders.
Jun 2010 — Jan 2011
I designed, implemented, and evaluated behavioral change research to understand and increase voter registration, turnout, and mobilization in collaboration with like-minded non-profit and political organizations.
Jun 2009 — Jun 2010
I led efforts to recruit students and community volunteers to participate in laboratory research studies. Additionally, I was also responsible for data collection, data analysis, and managing undergraduate and graduate student research efforts.
Aug 2007 — May 2009
I graduated magna cum laude with a Master of Arts degree in quantitative psychology. My research focused on decision heuristics and decision-making under uncertainity.
Aug 2003 — May 2007
I graduated summa cum laude with a Bachelor of Science degree in social and cognitive psychology, with minors in statistics and sociology.
Alexandria, VA
keith.dowd@gmail.com
(336) 529-7156