Addison James, Phd Email and Phone Number
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Driving business impact through large-scale machine learning models, utilizing data and analysis to explain technical problems and provide solutions. Collaborating with teams of engineers, physicists, and computer scientists, we have enhanced quality and reliability through innovative statistical applications. Our cross-functional efforts have been pivotal in propelling Intel's technology development forward, harnessing the power of data to inform strategic decisions.
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Staff Machine Learning EngineerSignifydPortland, Or, Us
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Staff Machine Learning EngineerIntel Corporation Jul 2021 - PresentSanta Clara, California, Us- Leading development of machine learning models from inception to deployment in Intel’s fabs at scale, impacting material in real time.- Increased the speed 200x of a machine learning root-cause ranking algorithm in Python, resulting in faster material throughput time and decreasing the amount of time needed to find malfunctioning tools by 85%.- Developed machine learning algorithm in Python that resulted in a 95% reduction in material erroneously going on hold, saving thousands of engineering hours, and doubling the capture rate of at-risk material.- Leveraged GPU to train computer vision model using in TF to recognize specific fail patterns on wafers and identify the affected units.- Cross-Functional Collaboration with Engineers, Physicists, and Computer Scientists -
Senior Data ScientistIntel Corporation Sep 2016 - Jul 2021Santa Clara, California, Us- Used machine learning and statistics to improve quality- Developed WebApp for engineers using Agile/SCRUM + Jira, using TypeScript (JavaScript) front end and C# backend. Kafka was used as an event handler.- Trained and deployed machine learning model in Python to use additional monitor capacity as a screening tool for the riskiest material with no additional costs.- Decreased time required to do hyperparameter optimization of ML model from 24 hours to 30 minutes by using parallel environment. - Created management quality dashboard that enabled tracking of key product health metrics.
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StatisticianOsu Survey Research Center Jul 2012 - Aug 2016- Used advanced research techniques to provide insight for government agencies including the Oregon Department of Transportation, Department of Motor Vehicles, and Oregon Department of Fish and Wildlife
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Data Science InternIntel Corporation May 2015 - Aug 2015Santa Clara, California, Us- Used specialized machine learning techniques to fit non-linear high dimensional models with limited data- Improved optimization and hyper-parameter selection techniques
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StatisticianNational Academy Of Sciences Jan 2011 - Dec 2011Washington, District Of Columbia, Us
Addison James, Phd Skills
Addison James, Phd Education Details
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Oregon State UniversityStatistics -
Colorado State UniversityStatistics
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Oregon State UniversityMathematics
Frequently Asked Questions about Addison James, Phd
What company does Addison James, Phd work for?
Addison James, Phd works for Signifyd
What is Addison James, Phd's role at the current company?
Addison James, Phd's current role is Staff Machine Learning Engineer.
What is Addison James, Phd's email address?
Addison James, Phd's email address is aj****@****wsu.edu
What schools did Addison James, Phd attend?
Addison James, Phd attended Oregon State University, Colorado State University, Oregon State University.
What are some of Addison James, Phd's interests?
Addison James, Phd has interest in Nonparametrics, Design Of Experiments, Statistics, Quantitative Predictive Modeling, Sampling Design.
What skills is Addison James, Phd known for?
Addison James, Phd has skills like Data Science, Machine Learning, Deep Learning, Statistics, Data Analysis, Data Mining, Big Data, Survey Design, Design Of Experiments, Statistical Modeling, Python, Tensorflow.
Who are Addison James, Phd's colleagues?
Addison James, Phd's colleagues are Gena Rivera, Ricardo Castañeda, Sarah Nibs, Carla Wang, Adam Davidson, Kaue Quinelato, Brian Sodano.
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