Jayme Fisher

About Jayme Fisher

As a data enthusiast with sixteen years’ experience, I’ve used behavioral data to optimize product portfolios; retail data to inform distribution, pricing, and promotion strategies; and survey data to influence new product development. I’m never more engaged than when I have a question and a database.Having spent eight years forecasting new product sales, I’m well-versed in predictive analytics. I’m also familiar with database architecture and data governance; I coordinated the company-wide transition from Salesforce to Microsoft Dynamics at NielsenIQ. Now, with a Master’s degree in Applied Data Science from the University of Michigan, I’m excited to tackle new challenges using advanced techniques, such as machine learning, natural language processing, and network analysis.I always enjoy networking—and nerding out—with like-minded peers. Feel free to email me at j•••••••@umich.edu or to send me a message through LinkedIn.Skills: Python (Advanced), NumPy (Advanced), Pandas (Advanced), Scikit-Learn (Advanced), PyTorch (Intermediate), SQL (Intermediate), Data Mining (Advanced), Data Visualization (Advanced), Database Architecture (Advanced), Machine Learning (Intermediate), Deep Learning (Intermediate), Natural Language Processing (Intermediate)

Experience

1. Data Scientist, Inventory Management

   Clark Associates

   Aug 2024 — Present · Lancaster, PA, US

Education

• Grinnell College

  Bachelor's degree, Psychology

  2003 — 2007

• University of Michigan

  Master's degree, Applied Data Science