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  • Lecture time: Monday: 09:30:00 - 10:20:00
  • Lab time: Friday: 09:30:00 - 11:20:00
  • Domain: Insurance
  • Keywords: Social Media
  • Tools: Python, R
  • Citizenship: Open to all students
Summary

Social media is one of Central’s pivotal extension of our Brand presence within the Market. By leveraging tools such as LinkedIn, Facebook & Instagram our team seeks to understand our customers, partners and competitors needs.

  • Lecture time: Monday: 15:30:00 - 16:20:00
  • Lab time: Friday: 15:30:00 - 17:20:00
  • Domain: Digital Agriculture
  • Keywords: Climate Change, Deep Learning, Genomics, Plant Breeding
  • Tools: Genomic Prediction Techniques, Machine Learning, Python, R
  • Citizenship: Open to all students
Summary

Within Plant Breeding at Bayer Crop Science, we want to explore the suitability of different germplasms in different climate scenarios by utilizing genotypic, phenotypic, climate and environmental data.

  • Lecture time: Thursday: 15:30:00 - 16:20:00
  • Lab time: Tuesday: 15:30:00 - 17:20:00
  • Domain: Digital Agriculture
  • Keywords: Deep Learning, Environmental Data, Genomics, Plant Genomics
  • Tools: Genomic Prediction Techniques, Machine Learning, Python, R
  • Citizenship: Open to all students
Summary

Student will use genomic data and environmental data with deep architectures or other newer methods to understand plant response as a function of the genomic and environmental variables and build models that can capture the interactions between them.

  • Lecture time: Friday: 11:30:00 - 12:20:00
  • Lab time: Monday: 11:30:00 - 13:20:00
  • Domain: Manufacturing
  • Keywords: Machine Learning, Predictive Analysis
  • Tools: Python
  • Citizenship: Open to all students
Summary

Create a model that predicts future warranty costs using our historical warranty data and product specifications.

  • Lecture time: Thursday: 09:30:00 - 10:20:00
  • Lab time: Tuesday: 09:30:00 - 11:20:00
  • Domain: Health
  • Keywords: Analytics, Azure, Cloud, Equity, Python, Tableau
  • Tools: Azure, R, Tableau
  • Citizenship: Open to all students
Summary

The Data and Analytics team at FSSA is a dynamic data team that works with various technologies and use-cases to serve the data needs of the State.

  • Lecture time: Monday: 11:30:00 - 12:20:00
  • Lab time: Friday: 11:30:00 - 13:20:00
  • Domain: Insurance
  • Keywords: Life Insurance, Machine Learning
  • Tools: Python
  • Citizenship: Open to all students
Summary

Policyholders have all kinds of financial protection needs, including loss of income, retirement, and leaving a legacy. These needs can vary depending on the stages of life, socio-demographics, and many other factors.

  • Lecture time: Friday: 15:30:00 - 16:20:00
  • Lab time: Monday: 15:30:00 - 17:20:00
  • Domain: Health
  • Keywords: Drug Research and Development, Neural Networks, Scene Understanding
  • Tools: Confluence, JIRA, Machine Learning, Python
  • Citizenship: Open to all students
Summary

We aim to achieve compositional and hierarchical action modeling and reasoning from video inputs in the context of computer vision.

  • Lecture time: To-be-determined: 00:00:00 - 00:00:00
  • Lab time: To-be-determined: 00:00:00 - 00:00:00
  • Domain: Manufacturing
  • Keywords: ETL
  • Tools: Databases, SQL
  • Citizenship: U.S. Citizens Required
Summary

FHI is looking for students to build a centralized storage solution to hold FHIs transformed data to be usable reporting data. Students will set up a new data warehouse and write the transformation from the current storage into the warehouse for use in many new and exciting ways.

  • Lecture time: Monday: 09:30:00 - 10:20:00
  • Lab time: Friday: 09:30:00 - 11:20:00
  • Domain: University
  • Keywords: Data Structures, Machine Learning, Predictive Analysis, sports analytics
  • Tools: Azure, Power BI, Statistical Modeling
  • Citizenship: Open to all students
Summary

The Ray Ewry Sports Engineering Center closely partners with industry, academia, and athletics to create the solutions that will help bring sports into the future. Students will build a predictive tool to aid with olympic games execution.

  • Lecture time: Monday: 15:30:00 - 16:20:00
  • Lab time: Friday: 15:30:00 - 17:20:00
  • Domain: Energy
  • Keywords: ArcGIS Pro, Geographic Information Science, Optimization, Renewable Energy, Spatial Data Science, Suitability Modeling, Vector and Raster Data
  • Tools: Azure, Python
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

At the intersection of Operations Engineering and Planning, there lies three broad, mutually-beneficial categories for data scientists to explore: next-day forecasting, determining and aggregating a robust seasonal average temperature for an area, and siting.