Jarai Carter, PhD

Jarai Carter, PhD

Senior Manager at John Deere

    Dr. Jarai Carter is currently a Senior Manager for Data Science at John Deere. Her team supports Data Science work in Personalization for Digital Software & Solutions. Previously, she was a Manager of Data Science at John Deere, supporting Advanced Sensing initiatives in Emerging Technology. She was also a Senior Manager of Analytics & Insights at Procter & Gamble and Site Leader for their Smart Lab, located in the University of Illinois Research Park, which focused on technology-based consumer and market knowledge research. Dr. Carter holds an adjunct lecturer appointment at Columbia University in their Applied Analytics program. She has over eight years of experience in a variety of technology and data science-focused projects, and received her Bachelor’s degree in Crop Sciences: Plant Biotechnology and Molecular Biology and her Doctorate degree in Informatics: Data Analytics and Information Visualization, both from the University of Illinois at Urbana-Champaign.

    All Sessions by Jarai Carter, PhD

    Day 1 04/23/2024
    12:50 pm - 1:20 pm

    Build-a-Byte: Constructing Your Data Science Toolkit

    <span class="etn-schedule-location"> <span class="firstfocus">Data Visualization</span> </span>

    Are you getting started in data science and want to know more about what tools are out there? Or maybe you have used the same tools for a while and you want to try something new? Then, get ready for a deep dive into building your very own data science toolkit! This talk is aimed at beginners who are entering this dynamic field and want to expand their data science tool knowledge. I will highlight 8 important components of a data science toolkit (since there are 8 bits in a byte), such as programming languages, integrated development environments (IDEs), text editors, online resources, and more. You will be guided through essential components of an effective toolkit, such as exploring the differences between your choice of coding playgrounds like Jupyter Notebooks and RStudio. I will navigate through foundational data manipulation libraries such as Pandas and dplyr, and showcase some of my favorite data visualization libraries including Seaborn and ggplot2. As I venture into the realm of machine learning, the audience will gain insights into some of the simplest ways to turn algorithms into models using scikit-learn and caret. The importance of stellar documentation will be emphasized because how else will we be effective technical communicators and collaborators if we cannot explain our work? At the end of the talk, you can expect to leave with not only a fundamental understanding of each toolkit component but also practical insights and resources so you can embark on your own toolkit journey. So, join me in constructing your data science toolkit and build those data masterpieces!

    Day 1 04/23/2024
    12:50 pm - 1:20 pm

    Build-a-Byte: Constructing Your Data Science Toolkit

    <span class="etn-schedule-location"> <span class="firstfocus">Data Visualization</span> </span>

    Ai X Panel: Abstact Coming Soon!

    Open Data Science

     

     

     

    Open Data Science
    One Broadway
    Cambridge, MA 02142
    info@odsc.com

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