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Brian Gaines is listed as Senior Machine Learning Developer at SAS, based in Fort Wayne, Indiana, United States. AeroLeads shows a work email signal at sas.com, phone signal with area code 260, and a matched LinkedIn profile for Brian Gaines.
Brian Gaines previously worked as Machine Learning Developer at Sas and Research Statistician Developer at Sas. Brian Gaines holds Doctor Of Philosophy (Ph.D.), Statistics from North Carolina State University.
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AeroLeads found 1 current-domain work email signal for Brian Gaines. Compare company email patterns before reaching out.
I am a Senior Machine Learning Developer at SAS where I design and develop graphical user interfaces (“nodes”) in SAS® Model Studio that empower you to perform data preparation and model building without the need to write any SAS code.Model Studio is a comprehensive, collaborative visual modeling environment that enables you to easily train, analyze, and compare a variety of different machine learning models without writing any code. Model Studio is part of a collection of user-friendly visual tools that support the entire analytics life cycle—from data preparation, to exploratory data analysis, to model creation and deployment. These easy-to-use tools make data and analytics more accessible to a wider range of people, enabling them to use data to improve decision making. Before joining SAS, I studied under Dr. Hua Zhou (now at UCLA) and Dr. Eric Chi while pursuing a statistics PhD at North Carolina State University. I successfully defended my dissertation in July 2017 and my degree was officially conferred in December 2017.
Listed skills include R, Statistics, Teaching, Data Analysis, and 10 others.
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Cary, Nc, Us
I design and develop graphical user interfaces (“nodes”) in Model Studio that empower you to perform data preparation and model building without the need to write any SAS code. I also write documentation and articles, in addition to creating demo videos, for customer enablement.
Cary, Nc, Us
* Designed and developed new user interfaces for generalized additive models (GAMs), Gaussian process regression, and Gaussian process classification. * Made several enhancements to a variety of modeling interfaces.* Authored two articles and a demo video on generalized additive models (GAMs).
Cary, Nc, Us
I was a member of a small team in Advanced Analytics R&D that designed and developed point-and-click, code-generating user interfaces ("tasks") in SAS Studio to help make the analytical methods in SAS easier to learn and use.
Raleigh, North Carolina, Us
* Discussion section instructor for Introduction to Statistics (ST311)* Course is a "flipped" classroom, in which the lecture content is delivered online and then advanced problems are covered in the weekly discussion section
Morrisville, Nc, Us
* Summer project focused on researching and implementing methods for improving the modeling of client sales data* Recommended approach improved predictive accuracy by an average of 40% (in terms of test set RMSE) compared to the current approach while also maintaining interpretability
Raleigh, North Carolina, Us
* Discussion section instructor for Introduction to Statistics (ST311)
Raleigh, North Carolina, Us
* Third summer session as the classroom instructor for Introduction to Statistics (ST311) * Responsible for lesson planning, lecturing, writing and grading exams, holding office hours, and handling student issues
Raleigh, North Carolina, Us
* Served as a statistical consultant for the College of Veterinary Medicine at NC State University* Assistance provided included experimental design and power analyses, as well as implementing various statistical methods in SAS, such as linear mixed models and logistic regression, in order to address client research questions
Raleigh, North Carolina, Us
* Served as the classroom instructor for Introduction to Statistics (ST311) for two summer sessions * Responsible for lesson planning, lecturing, writing and grading exams, holding office hours, and handling student issues
Raleigh, North Carolina, Us
* Discussion section instructor for Introduction to Statistics (ST311)
Raleigh, North Carolina, Us
Lab/discussion section instructor * ST512 – Experimental Statistics For Biological Sciences II (3 semesters) * ST350 – Economics & Business Statistics (2 semesters)Grader * ST372 – Introduction to Statistical Inference and Regression (1 summer session) * ST311 – Introduction to Statistics (1 summer session)
Richmond, Va, Us
* Supplied research assistance to staff economists* Aided in preparation of memos for pre-FOMC meetings
Richmond, Va, Us
* Briefed economists on recent macroeconomic data* Provided research support for President Jeffrey Lacker and other senior policy advisers
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Brian Gaines works for SAS.
Brian Gaines is listed as Senior Machine Learning Developer at SAS.
AeroLeads has found 1 work email signal at @sas.com for Brian Gaines at SAS.
AeroLeads has found 1 phone signal(s) with area code 260 for Brian Gaines at SAS.
Brian Gaines is based in Fort Wayne, Indiana, United States while working with SAS.
Brian Gaines has worked for Sas, North Carolina Chapter Of The American Statistical Association, Nc State University, Maxpoint, and Federal Reserve Bank Of Richmond.
You can use AeroLeads to view verified contact signals for Brian Gaines at SAS, including work email, phone, and LinkedIn data when available.
Brian Gaines holds Doctor Of Philosophy (Ph.D.), Statistics from North Carolina State University.
Brian Gaines is listed with skills including R, Statistics, Teaching, Data Analysis, Machine Learning, Statistical Modeling, Experimental Design, and Research.
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