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Click on individual projects to view more information including project descriptions from corporate partners
- Lecture time: Friday: 13:30:00 - 14:20:00 ET
- Lab time: Monday: 13:30:00 - 15:20:00 ET
- Domain: Research and Development
- Keywords: Customer Master Data, Data Analytics, Data Cleaning, Data Exploration, Data Integrity, Machine Learning
- Tools: Machine Learning
- Citizenship: U.S. citizens and permanent residents preferred
Summary
Utilize machine learning to optimize our Accounts Receivable process with a focus on predicting a customers’ tendency to delay payments vs. terms and improving our quote-to-cash process across multiple systems and automate matching of unapplied cash to open customer invoices.
Chicago Cubs Baseball Analytics - Award Prediction Model
Closed for Registration- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Athletics
- Keywords: Logistics, Machine Learning, Python, sports analytics, XGBoost
- Tools: Python, R, SQL
- Citizenship: Open to all students
Summary
Estimating the probability of a player winning certain awards that are incentivized to more accurately estimate the value of each player's current contract.
Transition Path - Capture, Codification, Transfer
Open for Registration- Lecture time: Tuesday: 10:30:00 - 11:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Education
- Keywords: Audio Analytics, Classification, Machine Learning, Text Analytics, Visualizations
- Tools: Azure, Data Visualization
- Citizenship: Open to all students
Summary
Technology and analytics enabled improvement to elicit knowledge from experts and transfer effectively to successors.
Caterpillar - Enterprise Traffic Reporting
Closed for Registration- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Agriculture
- Keywords: Data Science, Machine Learning
- Tools: Data Analytics, Data Visualization, Large Language Models, Open Source, Python
- Citizenship: Open to all students
Summary
Build an AI powered insights engine leveraging cloud data store, dashboards, and widgets to replace a legacy traffic reporting solution. This will provide continuous network flow record collection, aggregation and reporting in both realtime and historical drilldown on data.
Mathworks/Purdue Turf - Development of a learned language model for plant disease management report
Open for Registration- Lecture time: Thursday: 09:30:00 - 10:20:00 ET
- Lab time: Tuesday: 09:30:00 - 11:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, Agronomy, Plant Disease Management, Plant Pathology
- Tools: Data Exploration, Data Integration, Machine Learning, MATLAB, Python
- Citizenship: Open to all students
Summary
Create a robust model based on 26 years of published field trials to optimize disease control recommendations for turfgrass managers and compare the output with assessments made by experts in the field.
- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Manufacturing
- Keywords: Statistics
- Tools: Data Analytics
- Citizenship: Open to all students
Summary
Provide a correlation study of Allison Transmission on highway transmission warranty claims compared to in plant functional test rejects and repairs. The project will involve review of large warranty files and functional test data files.
- Lecture time: Thursday: 15:30:00 - 16:20:00 ET
- Lab time: Tuesday: 15:30:00 - 17:20:00 ET
- Domain: Aerospace
- Keywords: cyber security, Machine Learning, Satellite, Satellite
- Tools: Linux, NLP, Python, SPARTA
- Citizenship: U.S. Citizens Required
Summary
Students will develop a machine-learning model to detect and identify cyberattack-based anomalies using satellite telemetry data.
- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, Conservation, Data Analysis, Data Cleaning, Natural resources, Sustainability, Web Scraping
- Tools: application building, Databases, Data Cleansing, Python, SQL, Web-scraping
- Citizenship: Open to all students
Summary
Refine a web scraping tool that searches online sources such as the United State Department of Ag (USDA) or the Natural Resources Conservation Services (NRCS) listing of programs, and brings those programs together in a geographical manner to be presented to growers.
USDA Forest Service - Development of a Google Earth Engine-based app for National Forest Inventory Plot data Exploration
Open for Registration NDMN/IDM ONLINE- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Forestry
- Keywords: Geospatial Analysis, Google Earth Egine, National Forest Inventory data, Predictive Analysis, Satellite Imagery
- Tools: Data Visualization, Excel, Geospatial Data Analysis, Google Earth Engine, JavaScript, Python, R, Satellite Imagery
- Citizenship: Open to all students
Summary
Students will create an R package/Script Library/Dashboard (Tableau or PowerBI) and develop training guides for using the package/library/dashboard in multiple languages, perhaps taking advantage of AI translator services or native language skills.
Dormakaba - Project: SKUniverse
Open for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Research and Development
- Keywords: Data Analysis, Data Analytics, Database, Data Cleaning, Data Exploration, Data Integrity
- Tools: Data Analysis Process Architectures, Data Analytics, Databases, Data Cleansing, Data Exploration, Data Management, Data Modeling, Data Visualization, High Performance Computing
- Citizenship: U.S. citizens and permanent residents preferred
Summary
By utilizing data mining techniques, this project aims to analyze historical sales data, customer feedback, and market trends to identify high and low-performing SKUs.