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Sandia (Flight) - Trajectory Prediction
Open for Registration- Lecture time: Friday: 11:30:00 - 12:20:00 ET
- Lab time: Monday: 11:30:00 - 13:20:00 ET
- Domain: Aerospace
- Keywords: Machine Learning, Prediction, Trajectory Analytics
- Tools: Git, Jupyter Notebooks, Machine Learning, Python, Tracktable (Sandia Python library)
- Citizenship: Open to all students
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.
BASF - Approximating Competitor Market Share
Open for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, Data Analysis, Data Exploration, Machine Learning, Market Research, Market Trends, Statistical algorithm, Statistics
- Tools: Azure, Data Exploration, Machine Learning, Power BI, Python, Statistical Modeling, Statistics
- Citizenship: Open to all students
Summary
Deliver a statistical approach to approximating competitive market share down at a more granular level. Then leverage such output to compute benchmarking analytics for quantifying the accessible market opportunity relative to our competitors.
V2X - ChatBot vs NLP Classification
Open for Registration- Lecture time: Thursday: 13:30:00 - 14:20:00 ET
- Lab time: Tuesday: 13:30:00 - 15:20:00 ET
- Domain: Aerospace
- Keywords: Data Analysis, Database, Data Cleaning, data security, Data Transformation, Machine Learning, Maintenance, NLP
- Tools: Git, Jupyter Notebooks, Machine Learning, NLP, Python
- Citizenship: U.S. Citizens Required
Summary
Develop a Maintenance Troubleshooter Application -Ingest and logically parse information -Create and enable the cross-referencing of information -web application development -the capability to issue natural language queries associated with part repair and replacement
Ingenii - Quantum Computing for Data Science & Beyond
Open for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Quantum Computing
- Keywords: Deep Learning, Machine Learning, medical, Python, Quantum Computing, Quantum Physics, Statistical algorithm, Statistics
- Tools: Machine Learning, Python, Statistical Modeling
- Citizenship: Open to all students
Summary
Ingenii accelerates quantum adoption within Life Sciences with a library of ready-to-use quantum algorithms that provide near-term value with a path to scale. per-requisite: PHYS 34400 or ability to demonstrate basic understanding of quantum physics
FSSA - Predicting Medical Outcomes
Open for Registration- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Health
- Keywords: Azure, Python, Tableau
- Tools: Azure, Python, R, Tableau
- Citizenship: Open to all students
Summary
This project aims to understand how preventative/routine medical care contributes to negative health outcomes and how the data can be used to predict negative health outcomes to better inform the Bureau of Developmental Disabilities Services (BDDS) at FSSA.
MISO - Reliable Operation of the Electric Grid
Open for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Energy
- Keywords: Energy Management, Forecasting, Machine Learning, Predictive Analysis
- Tools: Azure, Python, R
- Citizenship: U.S. citizens and permanent residents preferred
Summary
The project will involve identifying trends/patterns that impact the reliability of the electric grid. This will include analyzing data from a variety of data sources, such as climate, energy generation and usage, and the trends of increasing renewable energy and electrification.
AbbVie - Marketing Investment Modeling
Open for Registration- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Health
- Keywords: Market Research, multi-touch attribute models, Prediction, Predictive Analysis, resource allocation
- Tools: marketing analytics, Power BI, Python
- Citizenship: Open to all students
Summary
The team will be tasked with building a multi-touch attribute model adding features like tactic sequencing and content deep dives. Models will be created to support our varied therapeutic businesses including Immunology, Oncology, and Neuroscience.
Molecular Stethoscope - Translational Data Science
Open for Registration- Lecture time: Friday: 15:30:00 - 16:20:00 ET
- Lab time: Monday: 15:30:00 - 17:20:00 ET
- Domain: Health
- Keywords: Error Propagation, Machine Learning, RNA-Seq, Simulation modeling
- Tools: Biostatistics, Machine Learning, Python, R
- Citizenship: Open to all students
Summary
Precision Medicine Diagnostics has transitioned to multi-analyte, machine learning generated classifiers for health and disease with unique regulatory challenges requiring data simulation to model reproducibility.
DORIS - Database Design
Open for Registration- Lecture time: Thursday: 09:30:00 - 10:20:00 ET
- Lab time: Tuesday: 09:30:00 - 11:20:00 ET
- Domain: Consulting
- Keywords: Behavioral Analytics, Communication & Interpersonal Skills, Consulting, Data Analysis, Leadership
- Tools: R
- Citizenship: Open to all students
Summary
Data Mine gets to leverage your super powers as data collectors, analysts, and reporting out the insights. Yep, that’s right, you will have real impact on the future of the Data Mine and their space, working through each step of the DORIS research process.
AbbVie - COVID Market Modeling
Open for Registration- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Health
- Keywords: Market Research, multi-touch attribute models, Predictive Analysis, resource allocation
- Tools: Dataiku, marketing analytics, Power BI, Python
- Citizenship: Open to all students
Summary
The goal of this project is to develop a machine learning model that can predict the future spread of COVID-19 in its endemic state. Learnings will help to drive go-to-market strategy for a future asset.