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  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • 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.

FSSA - Health Data and Analytics
Closed for Registration
  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • 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 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • 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.

FHI - Data Warehouse
Closed for Registration
  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • 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 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • 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 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • 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.

  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Biomedical Engineering
  • Keywords: Data Analysis
  • Tools: Python, R
  • Citizenship: Open to all students
Summary

This is a Purdue research opportunity with Dr. Marshall Porterfield, Professor of Agricultural & Biological Engineering during the 2022-23 academic year. Specifically, this research will involve computational and data mining approaches for NASA Space Biology and Medicine.

Renzoe Box - Renzoe Match
Closed for Registration
  • Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: Cosmetic
  • Keywords: NLP, Product Tags, Web Scraping
  • Tools: AWS, Cron, Docker, GitHub, Python
  • Citizenship: Open to all students
Summary

The Renzoe Match (RZM) project can be broken down into the following components: RZM Color Correction Algorithm and RZM SmarTags

  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: University
  • Keywords: Database, Project Management, User Experience
  • Tools: HTML, JavaScript, SQL
  • Citizenship: Open to all students
Summary

The team will focus both on helping to more efficiently collect, store, and visualize data from service-learning grant project, and create a new grant management database. This will include user interface, workflow, and database analysis.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, App development, Computer Vision, Geospatial Analysis
  • Tools: ArcGIS, JavaScript, Python, R
  • Citizenship: Open to all students
Summary

Use imagery collected from drones to count corn plants in research plots.