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- Lecture time: Friday: 09:30:00 - 10:20:00 ET
- Lab time: Monday: 09:30:00 - 11:20:00 ET
- Domain: Pharmaceutical
- Keywords: Agile, Lean Framework, Pharmaceutical, PowerBI, Tulip
- Tools: App Creation & Design, Data Analytics, Power BI, Tulip
- Citizenship: Open to all students
Summary
AstraZeneca currently has business need to advance digital tools within Tulip and PowerBi. Students will be expected to build Tulip/PowerBi apps from creation to implementation and enhance the current standard work instructions for creating apps.
- Lecture time: Tuesday: 16:30:00 - 17:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Manufacturing
- Keywords: Automation, Chemicals, Corrosion, Data Analytics, Materials, Pharmaceutical
- Tools: Data Analytics, Power BI, Python, UX, Web-scraping
- Citizenship: Open to all students
Summary
This project will work with Evonik Engineers to create a dynamic program that will generate Materials of Construction Matrices to determine compatibility using corrosion rates, temperatures, and concentrations.
Caterpillar - Enterprise Supplier Risk Management
Closed for Registration- Lecture time: Thursday: 09:30:00 - 10:20:00 ET
- Lab time: Tuesday: 09:30:00 - 11:20:00 ET
- Domain: Manufacturing
- Keywords: Data Analytics, Data Science, LangChain, Vector and Raster Data
- Tools: Data Visualization, Gradio, Hugging Face, Large Language Models, Pandas, Python, Pytorch, Snowflake, SQL, Streamlit
- Citizenship: Open to all students
Summary
Develop an AI model using Caterpillar insights (current supplier performance trends and future indicators), leveraging cloud data storage, dashboards, and static inputs to predict supplier constraints for Caterpillar.
Caterpillar - LLM-powered data dashboard
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: LangChain, Large Language Models, Machine Learning, Python, Time Series Analysis, Vector and Raster Data, Visualizations
- Tools: Gradio, Hugging Face, Pandas, Python, Pytorch, StreamLit
- Citizenship: Open to all students
Summary
Creating a data dashboard with an integrated chatbot capable of helping the user to perform a variety of data mining and analysis tasks including: retrieving, preprocessing and visualizing sensor data, summarizing and answering questions about data and time-series forecasting.
American Mathematical Society - AMS Database Migration and Application
Open for Registration NDMN/IDM- Lecture time: Friday: 11:30:00 - 12:20:00 ET
- Lab time: Monday: 11:30:00 - 13:20:00 ET
- Domain: Mathematics
- Keywords: Automation, Data Cleaning, Data Visualization
- Tools: Excel, FileMakerPro, Python, Tableau
- Citizenship: Open to all students
Summary
Help get this historical data into a modern database that can (1) allow us to import the data into the AMS relational database and (2) build a public-facing dashboard so people can explore trends and answer their pressing questions about mathematicians’ salaries, PhDs, and more!
Indiana Fever - Global Competition Evaluation
Open for Registration- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Athletics
- Keywords: Machine Learning, Statistics, Women's Basketball
- Tools: Azure, Databricks, Git, Python, Spark, SQL
- Citizenship: Open to all students
Summary
Build out comparison model weighing the level of competition for each league and tournament we capture data for across the globe. Create a global index of these leagues that determine how the performance of a player in a league like the Australian NBL would translate to the WNBA.
- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Real Estate
- Keywords: UI/UX, Web Development
- Tools: GitHub, HTML, JavaScript, MongoDB, Python
- Citizenship: Open to all students
Summary
Enhance the user interface (UI) of our website and its current services including real-estate and drone photography. Focus on improving visual design, user experience (UX) and accessibility to create a more engaging and user friendly platform.
- 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.