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Computational & Data Scientist
Summary * Enabler of rapid data product delivery and iteration by integrating the phases of the data science lifecycle: Domain knowledge → (business) problem → data → math → code → technology → product. * Data science generalist with time series analysis specialization 16 years of technologically and mathematically advanced programming experience; 9 in professional data science in essential capacities * 16 years of experience using the Python scientific computing stack in highly productive and advanced manners including building tools and applications for others to use * Implements increasingly sophisticated models according to business priorities including machine learning and advanced statistical models (See my linked portfolio for an explanation of this and for ways to contact me.) NOTE: We need to have had at least /some/ interaction before I'm open to adding you as a connection.
George Mason University
Master of Science (M.S.), Computational Science (and Informatics)
January 1, 2013 – January 1, 2016
Vanderbilt University
Master of Science (M.S.), Mechanical Engineering
January 1, 2008 – January 1, 2012
Vanderbilt University
Bachelor of Science - BS, Mechanical Engineering, Economics
January 1, 1999 – January 1, 2003
Pacific Northwest National Laboratory - PNNL
Data Scientist
April 1, 2019 – Present
Washington D.C. Metro Area
Kinetica
Senior Machine Learning Product Engineer
August 1, 2017 – August 1, 2018
Washington D.C. Metro Area
Enertiv
Data Scientist
August 1, 2016 – August 1, 2017
George Mason University
Researcher
July 1, 2014 – May 1, 2016
Continuum Analytics, Inc.
Intern
June 1, 2013 – August 1, 2013
Austin, Texas
Vanderbilt University
Teaching Assistant
January 1, 2011 – May 1, 2012
Vanderbilt University
Researcher
July 1, 2009 – December 1, 2012
Saudi ARAMCO
Power Plant Operations Engineer
June 1, 2006 – December 1, 2007
Saudi ARAMCO
Project Engineer
June 1, 2003 – June 1, 2006
District Data Labs Data Science Project Incubator
May 1, 2014 – September 1, 2014
- Wrote webscraper to acquire data - Loaded data to SQLite - Set up Hadoop stack for HBase on Amazon Web Services for analytics - Set up InfiniDB for analytics - Used sci-kitlearn to build prediction model
Cultural Fit Analysis
The candidate's extensive experience across various companies (PNNL, Kinetica, Enertiv) and academic institutions (George Mason University, Vanderbilt University) demonstrates adaptability to different organizational cultures. Their involvement in mentoring and leading projects suggests a collaborative and growth-oriented mindset. The breadth of technologies and methodologies used across projects indicates a willingness to explore and integrate diverse solutions, which is beneficial for a dynamic work environment. The target role of 'Data Analyst' aligns well with their demonstrated history of data analysis, modeling, and infrastructure management.
Soft Skills & Operational Fit
The candidate's experience includes mentoring less-experienced colleagues, collaborating with CTOs and Product Owners, and leading technical initiatives, suggesting strong leadership, collaboration, and communication skills. Their work on defining data quality measures and resolving analytical use cases indicates a methodical and problem-solving approach. The diverse project experience also points to adaptability and a proactive attitude towards learning new technologies.