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Ryan Borman is listed as Data Scientist | Machine Learning Specialist | Image Scientist | Analytical Chemist at HD Supply, based in Madison, Wisconsin, United States. AeroLeads shows a matched LinkedIn profile for Ryan Borman.
Ryan Borman previously worked as Data Scientist at Hd Supply and Data Scientist at U.S. Energy. Ryan Borman holds Master’S Degree, Bioanalytical Chemistry from University Of Virginia.
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Experienced Data Scientist with a robust background in Python, R, Matlab, C, SQL, Unix/Linux, Dataiku, and Git. Specializes in Machine Learning, Image Processing, Algorithm Development, and Chemistry. Proficient in Supervised and Unsupervised Learning, Time-Series Analysis, Deep Learning, Anomaly Detection, Web Scraping, Big Data, and Natural Language Processing. Successfully managed, developed, and deployed Machine Learning models across diverse domains including Marketing, Sales, Operations, Human Resources, and Quantitative Trading. Demonstrated ability to work independently and lead collaborative projects effectively.
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Atlanta, Georgia, US
Excited to step into the role of the first data scientist within the analytics team, collaborating closely with talented data engineers and analysts. Together, we’re building the foundation of the data science function within the marketing and pricing team. My focus is on designing, developing, and deploying advanced analytical solutions to drive strategic.
Appleton, Wisconsin, US
Created modeling frameworks and developed trading algorithms for crude oil, gasoline, and heating oil. Additionally, created processes to aid in model interpretation and statistical testing to quantify model performance.
Appleton, WI, US
Managed and developed supervised machine learning project that prioritized acquisitions of “success” branded gas stations for contracting in U.S. Energy. Additionally, initialized and developed unsupervised machine learning project and algorithm that determined ideal warehouse location for U.S. AutoForce.
Bloomington, Indiana, US
Developed automated image processing algorithms and software tailored for TEM images and liquid-cell TEM movies focusing on nanoparticles. Specialized in batch processing of data, handling typical data set sizes ranging from 250 MB to 1 GB. Proficient in various techniques including feature selection, image segmentation, morphology operations, binary.
Bloomington, Indiana, US
--Head Associate Instructor, Department of Chemistry (General Chemistry)--Collaborated with professor to organize the structure and implementation of Principles of Chemistry and Biochemistry I, a course for approximately 600 students, and 4 graduate, and 12 undergraduate AIs.Individually met with students to further understanding and explore difficult.
Charlottesville, VA, US
Independently created an algorithm and software to detect random adenosine transient events in animal models, significantly reducing data analysis time from 18 hours of manual work to just 20 minutes of computer computation per experiment. Designed software capable of converting false-color plot data into a surface plot featuring a broad color gradient.
Charlottesville, VA, US
--Head Teaching Assistant, Department of Chemistry--Partnered with professor to organize the structure and conduct meetings with TAs for Principles of Chemical Structure, an honor course for approximately 100 students and 4 graduate TAs.Developed “Fluorescent Determination of Oxygen Concentration” and “LC-MS of Proteins” undergraduate labs. Trained.
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Ryan Borman works for HD Supply.
Ryan Borman is listed as Data Scientist | Machine Learning Specialist | Image Scientist | Analytical Chemist at HD Supply.
Ryan Borman is based in Madison, Wisconsin, United States while working with HD Supply.
Ryan Borman has worked for Hd Supply, U.S. Energy, U.S. Venture, Inc., Indiana University, and University Of Virginia - Department Of Chemistry.
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Ryan Borman holds Master’S Degree, Bioanalytical Chemistry from University Of Virginia.
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