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- Lecture time: Friday: 15:30:00 - 16:20:00 ET
- Lab time: Monday: 15:30:00 - 17:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, Machine Learning, Prediction, Predictive Modeling, Trajectory Analytics
- Tools: Git, Jupyter Notebooks, Machine Learning, Python, Tracktable (Sandia Python library)
- Citizenship: U.S. Citizens Required
Summary
This project will focus on trajectory prediction and analysis. Observing trajectories that have crossed an area or recovering lost segments. Predicting where the trajectory will be after a certain amount of time and where the vehicle will be.
- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Manufacturing
- Keywords: Aerospace, Analytics, Business Intelligence, Data Cleaning, data mining, Data Visualization, Machine Learning, Predictive Analysis, Sales Forecasting
- Tools: Data Analytics, Machine Learning, Power BI, Python, R, Tableau
- Citizenship: Open to all students
Summary
Develop a predictive model by leveraging advanced analytics and machine learning techniques, the project aims to provide an accurate sales forecast that in turn enhances internal inventory management, optimizes supply chain operations, and improves sales strategies.
- 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.
Frederick National Laboratory (FNL) - Analysis of Spatial Single-Cell Datasets
Open for Registration NDMN/IDM- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Biomedical Research
- Keywords: biology, Biomedical Science, Clustering, SPAC, Spatial Analysis, Transformation, Visualizations
- Tools: GitHub, Python, R
- Citizenship: Open to all students
Summary
To accelerate the pace of delivering tools to analyze spatial single-cell datasets by leveraging the contributions of students and to contribute to the advancement of scientific knowledge and understanding in the field of single-cell biology and spatial analysis.
- 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.