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  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Social Network
  • Keywords: Accessibility, Consumer Experience, DEAF PODS
  • Tools: Data Cleansing, Data Exploration, Python, R
  • Citizenship: Open to all students
Summary

The lecture meeting will be on Tuesday either 2PM EST or 3PM EST. The project will analyze deaffriendly data to increase our understanding of what makes a business deaf-friendly and/or deaf-challenged.

  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Research and Development
  • Keywords: Accessibility, Analytics, DEAF PODS, Systematic literature review
  • Tools: Data Curation, Excel, Python, Statistics
  • Citizenship: Open to all students
Summary

The lecture meeting hasn't been decided but it will be on Tuesday between 10AM-3PM EST. The project will research and find better methods to assess captioning quality in real-time.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: University
  • Keywords: Black Student Experience, Factor Analysis, Student Life
  • Tools: Data Exploration, Python, R, Statistical Modeling, Technical Writing
  • Citizenship: Open to all students
Summary

Deep interest in the intersection of liberal arts and data science is helpful.  Students will learn the basics of data cleaning for large data sets along with data visualization techniques using Student Life data and Black studies methods.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Natural Resources
  • Keywords: Environmental Data, Forecasting, Forest Inventory and Analysis, Prediction, Predictive Analysis
  • Tools: Data Exploration, Sustainability Considerations in the Industry, Weather Forecasting
  • Citizenship: Open to all students
Summary

Develop a proof of concept of a tool, including models that help emergency operations to accurately track and predict wildfire events. Develop a GHG Protocol consistent overview of key emissions reduction strategies for our suppliers that are new to their sustainability journey.

  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Automobile
  • Keywords: Anomaly Identification, Spatiotemporal Analysis, Vehicle Telematics Data
  • Tools: GeoPandas, Python
  • Citizenship: Open to all students
Summary

Create spatiotemporal metrics for vehicle delivery routes. These KPIs will be used to characterize and compare delivery routes, identify anomalies and quantify trade-offs between time and energy

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.