Madeline Hawkins
Senior Data Scientist at Brighterion, a Mastercard Company- Claim this Profile
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Bio
Credentials
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraDec, 2019- Nov, 2024 -
Structuring Machine Learning Projects
CourseraDec, 2019- Nov, 2024 -
Neural Networks and Deep Learning
CourseraAug, 2019- Nov, 2024 -
C++ Certification
Orange Coast College
Experience
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Brighterion, a Mastercard Company
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United States
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Software Development
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1 - 100 Employee
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Senior Data Scientist
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Mar 2021 - Present
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Data Scientist II
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Feb 2019 - Mar 2021
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Nevro
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United States
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Medical Equipment Manufacturing
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700 & Above Employee
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Software Engineer Intern
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Jun 2018 - Jan 2019
Drove the management and reengineered unstructured data to validated structured data of 24000 subjects using Python and PySpark with Databricks Unified Analytics Platform. Ran exploratory analytics using Jupyter Notebooks and Pandas on patient data and found trends that answered questions on improvements for the product. Pioneered cross-functionality on deep learning project using image processing to identify vertebrae in x-rays. Drove the management and reengineered unstructured data to validated structured data of 24000 subjects using Python and PySpark with Databricks Unified Analytics Platform. Ran exploratory analytics using Jupyter Notebooks and Pandas on patient data and found trends that answered questions on improvements for the product. Pioneered cross-functionality on deep learning project using image processing to identify vertebrae in x-rays.
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Computational Genomics Laboratory
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Santa Cruz
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Undergraduate Research Assistant
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Nov 2017 - Jun 2018
Conducted machine learning research for Computational Genomics Lab. Collaborated model evaluation and exploration in Python and PyTorch to train models for variant identification. Sped preprocessing up to 3 times compared to traditional methods for large genomic data by utilizing parallelization techniques to create images for the model. Conducted machine learning research for Computational Genomics Lab. Collaborated model evaluation and exploration in Python and PyTorch to train models for variant identification. Sped preprocessing up to 3 times compared to traditional methods for large genomic data by utilizing parallelization techniques to create images for the model.
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Education
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University of California, Santa Cruz
Bachelor’s Degree, Computer Science with Honors -
Orange Coast College
Associate’s Degree, Mathematics