Amy N.
About Amy N.
Amy N. is a remote Data Scientist at Mathematica, where she has worked since 2021. She has a diverse background in data science, project management, and research, with previous roles at the University of Michigan and Owaves.
Work at Mathematica
Amy N. has been employed at Mathematica as a Data Scientist (Remote) since 2021. In this role, she focuses on data analytics and machine learning projects. Prior to her current position, she served as a Senior Programmer Analyst at Mathematica from 2020 to 2021. Her responsibilities included technical leadership on projects that involved text data extraction and manipulation, as well as managing technical timelines and team sprints using Jira and Confluence.
Education and Expertise
Amy N. holds a Bachelor of Science in Biology/Zoology and Environmental Science from the University of Wisconsin-Madison. She furthered her education at the University of Michigan, where she earned a Master's degree in Data Science and Analytics. Her academic work included a thesis that utilized data from WiFi routers in refugee camps combined with UNHCR demographic data to analyze usage trends and predictions. She is currently learning the programming language Julia to enhance her technical skills.
Background
Before joining Mathematica, Amy N. worked at the University of Michigan in various roles, including Project Manager, Lead Consultant, and Founder of UMSI - D4G Consulting from 2018 to 2019. She also served as a Graduate Research Assistant at UMSI for four months in 2018. Additionally, she worked as a Senior Community Manager at Owaves from 2016 to 2017. Her diverse background includes experience in biometrics, digital identification management, and blockchain technology.
Achievements in Data Science
Amy N. has contributed to the field of data science through her involvement in equity in data analytics and machine learning. She serves as a team lead for thought leadership blog posts in this area. Her technical contributions include the creation of a Deep Neural Network (DNN) model for natural language processing applications, which aids primary care facilities by extracting data from AWS S3. She also plays a key role in projects that involve ETL processes and personally identifiable information (PII) removal.