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Webee - Indoor Asset Tracking
Closed for Registration
  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: IoT
  • Keywords: Asset Tracking, Data Analysis, Indoor Location, Logistics and Supply Chain, Supply Chain Industry Specifics
  • Tools: Bluetooth (+BLE), Chirpstack, Geolocation, GPS, LoRaWAN, Machine Learning, MongoDB, Python, WIFI Sniffer
  • Citizenship: Open to all students
Summary

Pinpoint the location of devices inside facilities

Webee - Health of Things
Closed for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: IoT
  • Keywords: Machine Learning, Maintenance, Manufacturing, Predictive Analysis
  • Tools: Azure IoT, Chirpstack, LoRa, LoRaWAN, Machine Learning, Manufacturing Industry Specifics, Modbus and RS485 Protocol Communication, MongoDB, Prescriptive Maintenance, Python
  • Citizenship: Open to all students
Summary

AI Algorithm to determine machine failure reasons

Merck - Biometrics
Closed for Registration
  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Health
  • Keywords: API
  • Tools: Atlassian, AWS, bitbucket, Confluence, Flask, JIRA, Python, React JS
  • Citizenship: Open to all students
Summary

Creating an automated system to collect biometric data from wearable fitness technology (i.e. garmin & fitbit) during the process of experimentation.

Merck - Lab Logistics MSDS
Closed for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Health
  • Keywords: API, Drug Research and Development
  • Tools: Appian, AWS, Confluence, JIRA, Postman, Python, SQL
  • Citizenship: Open to all students
Summary

To build an automated data processing pipeline that can draw from an external manufacturing website containing MSDS information.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Aerospace
  • Keywords: Predictive Analysis
  • Tools: Python
  • Citizenship: U.S. Citizens Required
Summary

***US Citizens ONLY*** Use health sensor data sets to train predictive models to calculate RUL of key system components.

  • 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.