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Click on individual projects to view more information including project descriptions from corporate partners

  • Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Aerospace
  • Keywords: Business Intelligence, Machine Learning, NLP
  • Tools: Python
  • Citizenship: U.S. Citizens Required
Summary

***US Citizens ONLY*** Build new advanced analytics using publicly available data to gain insight into emerging companies, trends in industry, influential people, and important startup businesses.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Agriculture, Analytics, Prediction, Predictive Analysis
  • Tools: Machine Learning, Python, R, Regular expressions, SQL, Tableau
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

Creating customer profiles to gain marketing insights.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Health
  • Keywords: Data Analytics, Excel, Machine Learning, SPSS
  • Tools: Machine Learning, NLP, Python, R, SPSS
  • Citizenship: Open to all students
Summary

Our goal is to analyze poison control data to target messaging to areas with higher rates of exposure.

  • Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: Automobile
  • Keywords: Data Exploration, Data Visualization, Forecasting
  • Tools: Python, R
  • Citizenship: Open to all students
Summary

The Nuvve project will be a continuation of the research from students during spring 2022 shown here: https://datamine.purdue.edu/corporate/nuvve/

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Insurance
  • Keywords: Banking, Data Exploration, Digital Adoptation, Digital Channels, Insurance, Member Behavior, Predictive Analysis
  • Tools: Python, SAS, SPSS, SQL
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

Leverage data science to understand member channel shift (between digital and analog) in order to optimize and improve our member's experience and provide best in class service.

Webee - Smart Irrigation
Closed for Registration
  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: IoT
  • Keywords: Agriculture, Crops, Irrigation, Machine Learning, Predictive Analysis, Sustainability
  • Tools: Agritech Industry Specifics, Chirpstack, LoRaWAN, Machine Learning, MongoDB, OpenWeather, Python, Weather Forecasting
  • Citizenship: Open to all students
Summary

Water conservation and sustainability.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Automobile
  • Keywords: Data Structures, Graph Analysis, Linear Optimization
  • Tools: Graph Analysis, Linear Optimization, Python, R
  • Citizenship: Open to all students
Summary

With this project, we aim to optimize the order of assembly job processes. Harnessing the power of mathematical tools is necessary for any company wishing to improve.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: University
  • Keywords: Coding, Data Exploration, Data Revitalization, System Learning, User Experience
  • Tools: Machine Learning, Python, R, System Learning, User Engagement
  • Citizenship: Open to all students
Summary

Revitalize the way users engage with and understand military-connected data through the creation of interactive and comparative data snapshots at the county, state and national level.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Insurance
  • Keywords: Claims Processes, Risk Assessment
  • Tools: Python, R
  • Citizenship: Open to all students
Summary

Utilizing weather data and other data sources to support existing work and enable new modeling capabilities.

Sandia (Flight) - Track Stitching
Closed for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Aerospace
  • Keywords: Data Integrity, Machine Learning, Prediction, Trajectory Analytics
  • Tools: Git, Jupyter Notebooks, Machine Learning, Python, Tracktable (Sandia Python library)
  • Citizenship: U.S. Citizens Required
Summary

Predict if the flight is a segment or whole flight, and if it is a segment, which other trajectory segment belongs to it.