Data Scientist at Google
Mountain View, California
Data Scientist with experience in use and evaluation of machine learning, analyzing and cleaning data, performing statistical modeling and simulations, designing and developing software, and engaging in scientific research. Background as a Ph.D. Scientist and Educator brings 10 year proven track record of project management, interdepartmental communication and thirst for continued learning and growing contributions. Data Science:...
Data Scientist with experience in use and evaluation of machine learning, analyzing and cleaning data, performing statistical modeling and simulations, designing and developing software, and engaging in scientific research. Background as a Ph.D. Scientist and Educator brings 10 year proven track record of project management, interdepartmental communication and thirst for continued learning and growing contributions. Data Science: Experience working with messy, real-world data sets across the data science stack: data munging, exploration, modeling, validation, visualization, and communication. Use of SQL and NoSQL, EDA, Statistical Inference, Bayesian Methods, A/B Testing, Multi-Armed Bandit, Regression, Regularization, Gradient Descent, Classification, Validation, Ensemble Methods, Clustering, Topic Modeling (NMF, LDA), Web Scraping, NLP, Network Analysis, Matrix Factorization, and Time Series, Hadoop, MapReduce, Spark, and Data Visualization with D3. Mobile Application and Web Development Lifecycle: Built three native mobile applications for secondary education, creating a user interface to link with Learning Management Systems and upload documents, images and videos. Developed mobile application for data collection in remote locations. Programming used: JDK (Android), Object C (iOS), PhongGap, HTML, CSS3, JQuery, PHP and MySQL. Project Management and Communication: Known for being able to communicate technical ideas to non-technical individuals. Oversaw and performed data analysis and data simulation for scientific collaborations that resulted in multiple peer-reviewed publications. Effectively bring multiple departments together to achieve a singular goal.Data Scientist @ From August 2015 to Present (5 months) Data Scientist Fellow @ A 3 month immersive data scince program working with real-world (messy) data to provide training across the data science track: data munging, exploration, modeling, validation, visualization, and communication. From June 2015 to August 2015 (3 months) San Francisco Bay AreaRobotics and Physics Instructor @ Founded and lead multiple award winning FIRST Robotics Teams. Responsibilities included managing robotics budget and fund raising, organizing mentors and volunteers, project planning build season, securing grants, organizing travel, managing website and social media, filming and editing videos, running community service projects, and developing curriculum. Team awards include: Excellent in Engineering (Los Angeles - 2012), Innovation Award (Las Vegas - 2012), Rookie of the Year (Los Angeles - 2013), All-Star (Los Angeles - 2013). Redesigned physics curriculum to improve college readiness and scores on external validators (APs, SATs, College Placement Exams). Increase the quantity and quality of labs in both Physics and Advance Physics course. Created and integrated e-learning material: Adobe Captivate, Adobe Edge Animate, Explain Everything. Also developed elective course to teach students electronics & mobile application develop. These elective courses covered: Electronics & Programing, Arduino, Mobile and Web Apps, Corona SDK, PhoneGap, Java, HTML5/CSS3/JavaScript. Developed 3 mobile applications (2 iOS and 1 Android) to interface with the schools custom made learning management system that allowed users to take attendance, read announcements, see schedule, upload photos and videos, and submit digital assignments. Severed on multiple committees to evaluate and make recommendations to the head of school on issues related to logistics and strategy. Topics include: evaluating the school’ technological and software needs for the next 5 years, recommending a plan for implementation, training, and development of new technology adopted by the school, student learning and assessment in the digital age, evaluated learning and school management system, and designing the next science build. From August 2007 to June 2015 (7 years 11 months) Consultant @ Simulated various market conditions using MATLAB to make 5 year projections of natural gas shipping costs from Canada to Hawaii. From February 2010 to May 2010 (4 months) Graduate Teacher Assistant @ Led discussion sections for major and non-major introductory physics course. Instructed laboratory sections for major and non-major introductory physics. Provided student support for undergraduate Quantum Mechanics and graduate Statistical Mechanics courses. From August 2002 to June 2008 (5 years 11 months) Graduate Student Researcher @ Produced 5 published Physics Review papers on discovery and measurement prospects for super symmetric theories at the LHC. The research involved the production of simulated data using Monte Carlo methods programmed in FORTRAN 95. The data was ran through detector simulations written in ROOT (C++ data analysis environment) and analysed for detection and measurement prospects. The research was extended to current cosmological and experimental measurements to restrict the parameter space. From June 2002 to August 2007 (5 years 3 months) Lab Instructor @ Part time instructor of physics labs for science majors From August 2004 to December 2004 (5 months) Orange County, California AreaMaster of Science (MS), Computer Science @ Georgia Institute of Technology From 2014 to 2016 Data Science @ Galvanize From 2015 to 2015 Nanodegree, Data Analysis @ Udacity From 2014 to 2015 Ph.D, High Energy Particle Physics @ University of California, Irvine From 2002 to 2007 Bachelor of Science (BS), Physics @ UC Santa Barbara From 2000 to 2002 Bryan Ph.D is skilled in: Physics, Science, Statistics, Matlab, Research, Data Analysis, Python, Machine Learning, R, Statistical Data Analysis, Data Science, Java, Microsoft Office, Google Docs, Technology Integration
Payoff
Data Scientist
August 2015 to Present
Galvanize
Data Scientist Fellow
June 2015 to August 2015
San Francisco Bay Area
The Buckley School, New Roads, The Bishiop's School
Robotics and Physics Instructor
August 2007 to June 2015
VE Analytics
Consultant
February 2010 to May 2010
UC Irvine
Graduate Teacher Assistant
August 2002 to June 2008
University of California, Irvine
Graduate Student Researcher
June 2002 to August 2007
Chapman University
Lab Instructor
August 2004 to December 2004
Orange County, California Area
Georgia Institute of Technology
Master of Science (MS) Computer Science
2014 to 2016
Galvanize
Data Science
2015 to 2015
Udacity
Nanodegree Data Analysis
2014 to 2015
University of California, Irvine
Ph.D High Energy Particle Physics
2002 to 2007
UC Santa Barbara
Bachelor of Science (BS) Physics
2000 to 2002
What company does Bryan Ph.D work for?
Bryan Ph.D works for Payoff
What is Bryan Ph.D's role at Payoff?
Bryan Ph.D is Data Scientist
What industry does Bryan Ph.D work in?
Bryan Ph.D works in the Computer Software industry.
Who are Bryan Ph.D's colleagues?
Bryan Ph.D's colleagues are Emily Huo, Liliya Belaus, Rodney Lyons, Kritika Rai, Kelly Hutchison, Arushi Jain, Emily Claflin, Filipe Romancini, Saurabh Sharma, and Chris Slowe
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