Ella Peplinski

Q: What is Ella Peplinski email address?

Email Ella Peplinski at ella.peplinski@agcocorp.com. This email is the most updated Ella Peplinski's email found in 2026.

Q: How to contact Ella Peplinski?

To contact Ella Peplinski send an email to ella.peplinski@agcocorp.com. (updated on September 06, 2024)

Data Scientist at AGCO Corporation | Chapel Hill, North Carolina, United States

About Ella Peplinski

Ella Peplinski is currently making significant strides as a Data Scientist within the Business Analytics Department at AGCO Corporation, where her expertise in data analytics and optimization is being put to impactful use. With a strong academic foundation as a Senior at the University of North Carolina at Chapel Hill, where she is pursuing a double major in Information Science and Statistics, Ella has developed a keen interest in leveraging predictive analytics and machine learning to drive business decisions.

In her role at AGCO, Ella focuses on the inventory department, where she has been instrumental in optimizing a bi-annual SQL query that pulls and cleans large datasets. This optimization process is crucial for integrating additional Key Performance Indicators (KPIs) into the recommendation logic that supports AGCO dealers. By enhancing the accuracy of recommended part lists, Ella is not only improving operational efficiency but also contributing to better inventory management and customer satisfaction. Her work exemplifies the intersection of data science and business strategy, showcasing her ability to translate complex data into actionable insights.

Ella's proficiency in tools such as SQL, Python, and Power Query, combined with her understanding of regression analysis and deep learning techniques, positions her as a valuable asset to AGCO Corporation. She is passionate about exploring Generative AI solutions to further enhance predictive capabilities within the organization. As she continues to develop her skills in project management and business analytics, Ella is poised to make a lasting impact in the field of data science, driving innovation and efficiency in the agricultural machinery industry.

Ella Peplinski Work