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Caterpillar - Machines and Equipment
Open for Registration
  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: Analytics, Embedded Software, Linear Algebra, Machine Learning, Mechanical design
  • Tools: Machine Learning, Manufacturing Industry Specifics, Python
  • Citizenship: Open to all students
Summary

Caterpillar equipment is electronically controlled using software with thousands of parameters and millions of lines of code. Problems are encountered when trying to analyze 2 or more assets. Goal is to determine methods to accurately time align multiple assets.

  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Manufacturing
  • Keywords: Data Analytics, Linear Algebra, Supply Chain, Web Apps
  • Tools: Artificial Intelligence, Flask, Machine Learning, Python, Streamlit
  • Citizenship: Open to all students
Summary

Develop Python-based dashboards for scenario planning and simulation capabilities. Involves creating hypothetical scenarios, based on AI/user predictions for different risk events, and testing how the supply chain would respond to them.

Howmet Aerospace - Image Processing
Open for Registration
  • Lecture time: Friday: 09:30:00 - 10:20:00 ET
  • Lab time: Monday: 09:30:00 - 11:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, Anomaly Identification, Coding, Comparative Analysis, Image Processing, Machine Learning, Neural Networks
  • Tools: Machine Learning, Python
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

Develop a machine learning algorithm like a neural network and an image process system. Turbine blades and vanes are analyzed via X-Ray imaging methods to detect internal anomalies. Anomalies will appear on X-Ray images, and operators must correctly identify them.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Consulting
  • Keywords: Data Engineering, Time Series Analysis, Web Scraping
  • Tools: Dash, Docker, Python, R
  • Citizenship: Open to all students
Summary

Students will be analyzing procurement trends in the automotive industry during supply chain disruptions. Students will be working on time series US import export data of automotive components and looking to describe and model this behavior.

Knudsen Institute - NLP
Open for Registration
  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Consulting
  • Keywords: NLP, Supply Chain, Web Scraping
  • Tools: AWS, Docker, Python, R, SQL
  • Citizenship: Open to all students
Summary

Students will work on identifying manufacturing capacities which can be utilized in both electric and non electric vehicle’s component manufacturing. Students will develop robust tools to extract information online such as web scraping and NLP classification.

  • 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: Consulting
  • Keywords: Data Engineering, Data Integrity, Data Scraping, Data Structures, DEAF PODS
  • Tools: CRM, Excel, Web-scraping
  • Citizenship: U.S. Citizens Required
Summary

The students who works with us will help to ensure the data in our database adheres to our data conventions, research and add new data in, and support us in identifying existing data gaps and how to remedy those.

  • 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: Research and Development
  • Keywords: Accessibility, Analytics, DEAF PODS, Systematic literature review
  • Tools: Data Curation, Excel, Python, Statistics
  • Citizenship: Open to all students
Summary

The lecture meeting hasn't been decided but it will be on Tuesday between 10AM-3PM EST. The project will research and find better methods to assess captioning quality in real-time.

  • 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: Social Network
  • Keywords: Accessibility, Consumer Experience, DEAF PODS
  • Tools: Data Cleansing, Data Exploration, Python, R
  • Citizenship: Open to all students
Summary

The lecture meeting will be on Tuesday either 2PM EST or 3PM EST. The project will analyze deaffriendly data to increase our understanding of what makes a business deaf-friendly and/or deaf-challenged.

Finish Line - Order Routing Model
Open for Registration
  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Retail
  • Keywords: Data Integrity, Machine Learning, Prediction
  • Tools: Git, LOOKER, SQL
  • Citizenship: Open to all students
Summary

Build a dynamic order routing model that predicts expected delivery time in a variety of scenarios but also includes the most advantageous location within the business to fulfill a web order that is not only cost efficient to the customer but also cost efficient to the business.

  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Athletics
  • Keywords: Data Analysis, Football, Machine Learning
  • Tools: AWS, Python
  • Citizenship: Open to all students
Summary

Using PFF play-by-play and advanced charting data, students will evaluate the value, difficulty, frequency, and other factors that determine the importance of NFL throws. Identifying these throws will help PFF isolate important aspects of quarterback play.