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Inotiv - Financial Reporting
Open for Registration
  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Health
  • Keywords: Data Visualization, Finance, IT
  • Tools: DAX, Power BI, Power Query, SQL
  • Citizenship: Open to all students
Summary

Inotiv is looking for a team of data analysts to assist their Business intelligence team in creating relationships, dashboards, and reports based on a multitude of Financial reporting needs and wants.

  • Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Chemical Science
  • Keywords: Chemical Safety, Machine Learning, NLP, Systematic literature review
  • Tools: Python, SQL
  • Citizenship: Open to all students
Summary

To grow the CSL Data Collection with hazardous information about a reaction involving 2 or more reagents.

  • 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 with unique regulatory challenges requiring data simulation to model reproducibility.

  • 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, Data Visualization, NLP
  • Tools: Python, Web-scraping
  • Citizenship: Open to all students
Summary

Perform NLP analysis and market focused testing to identify popular themes, topics, sentiment, and other driving factors from both Helmer’s blog as well as other blogs focused on the same topic area.

  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Analytics, Crops, Data Analytics, Forecasting, Predictive Analysis, Statistics
  • Tools: Python, R, Statistical Modeling, Statistics
  • Citizenship: Open to all students
Summary

Create a 2024 forecast in the style of The Farmer’s Almanac that estimates: likeliest analog years & outlook for US wine grapes for next 3 growing seasons. Create a digital means for interacting with the platform.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Analytics, Crops, Data Analytics, Forecasting, Predictive Analysis, Python, Statistics
  • Tools: Python, R, Statistical Modeling, Statistics
  • Citizenship: Open to all students
Summary

Create a 2024 forecast in the style of The Farmer’s Almanac that estimates: Likeliest analog years & outlook for top 2 row crops in the US: Corn & Soybeans. Create a digital means for interacting with the platform (i.e. why is 2021 like 1981; why 2024 will likely be like 1998).

  • Lecture time: Tuesday: 08:30:00 - 09:20:00 ET
  • Lab time: Thursday: 08:30:00 - 10:20:00 ET
  • Domain: Wildlife Conservation
  • Keywords: Data Analytics, Data Visualization, GIS, Machine Learning, Mobile Application, Web Development
  • Tools: CSS, HTML, Python
  • Citizenship: Open to all students
Summary

MEP is looking for talented individuals excited to apply their learning into actionable items using data driven conservation technology and tools.

  • 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 Visualization, Manufacturing, Raw Materials
  • Tools: Databases, R, SQL, Statistics
  • Citizenship: Open to all students
Summary

This project is to create database linkages between product that is non-conforming due to raw material failures or due to manufacturing failures, with work orders and finished product, and attempt to correlate non- conforming product with environmental and other factors.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Athletics
  • Keywords: sports analytics
  • Tools: Power BI, Python, R, Tableau
  • Citizenship: Open to all students
Summary

Using data collected from performance science technology, the team will infer outcomes and recommendations for optimal training. The team will identify performance metrics such as injury trends and performance outcomes.

Tesla - Dispatch Data Clustering
Closed for Registration
  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Manufacturing
  • Keywords: Classification, Clustering, Data Analysis, NLP
  • Tools: Databases, Flux, Python, Tensorflow
  • Citizenship: Open to all students
Summary

Given key pieces of textual reliability data, we want to develop a tool that can take the open-text data, look for similarities, and “classify” the text into standardized groupings. We also want to group maintenance events that may be connected to one downtime (failure) event.