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DEAFCYBERCON - DEI and the Deaf Workforce
Closed for Registration DEAFPODS Students Only
  • Lecture time: Wednesday & Friday: 09:00:00 - 10:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Government
  • Keywords: Analytics, Business, DEAF PODS, DEI, Sustainability
  • Tools: Accessibility, Statistics
  • Citizenship: U.S. Citizens Required
Summary

Analyze available ESG metrics to determine efforts that support Deaf and HH people

  • Lecture time: Thursday: 12:30:00 - 13:20:00, Monday: 11:30:00 - 12:20:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Communication
  • Keywords: Accessibility, Cost Efficiency Improvement, Data Analytics, GIS
  • Tools: Power BI, Python, Statistics
  • Citizenship: U.S. Citizens Required
Summary

Develop a modular Power BI dashboard to identity the demand of ASL interpreters by county level and calculate profit margins on a per interpreter and/or per-customer basis

FSSA - Indiana 211 and the Bureau of Developmental Disabilities Services
Closed for Registration DEAFPODS Students Only
  • 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: Health
  • Keywords: Tableau, Visualizations
  • Tools: Accessibility, Data Cleansing, Data Exploration, Python, R, Tableau
  • Citizenship: U.S. Citizens Required
Summary

**In-Person ONLY** This project allows for flexibility and encourage students to work at their own pace, cohort participants will create their own deliverable project plan: Deliverable 1 - Data Visualization Dashboard Deliverable 2 - Infographic Executive Summary

Nationwide - Analysis of Food Insecurity in Metropolitan Areas
Closed for Registration DEAFPODS Students Only
  • Lecture time: Tuesday: 15:30:00 - 16:20:00, Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Insurance
  • Keywords: Comparative Analysis, Data Analytics, Data Exploration, Data Visualization, DEAF PODS
  • Tools: Data Exploration, Python, Statistics
  • Citizenship: U.S. Citizens Required
Summary

The goal of this project is analyze food insecurity patterns in three metropolitan areas and build reports and interactive visualizations that describe similarities and differences across these areas

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 08:30:00 - 10:20:00 ET
  • Domain: Aerospace
  • Keywords: cyber security, Data Analysis, Data Analytics, Data Cleaning, Data Exploration, Data Scraping
  • Tools: Artificial Intelligence, Data Cleansing, Data Exploration, Machine Learning
  • Citizenship: U.S. Citizens Required
Summary

Work collaboratively with Air Force Academy from Colorado Springs and Lockheed Martin on this project that investigates cyber security threats across the web. Work on a team to create a white paper and, as time allows, a proof of concept software design. This is a virtual team.

  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Supply Chain
  • Keywords: Demand and Supply Planning, Forecasting, Predictive Analysis, Statistical Analysis
  • Tools: Data Analytics, Machine Learning, Statistical Modeling
  • Citizenship: Open to all students
Summary

Cisco is exploring a 2-stage hierarchical modeling approach to forecast the demand for its 10,000+ products The idea is to improve forecast accuracy at the two levels independently, and hence improve the PLID level forecast accuracy and reduce systematic bias.

HUMN Capital - Business Intelligence
Open for Registration
  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Technology
  • Keywords: Accessibility, Business Intelligence, Data Analytics, Data Visualization, entrepreneurship
  • Tools: Python, R, SQL
  • Citizenship: Open to all students
Summary

The team will provide analysis to senior leaders on employee engagement, predicting employee attrition, identifying high performers, and identifying opportunities for management development. ​

  • Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Research and Development
  • Keywords: Data Integration across Studies, Data Processing, Product Comparison, Statistical Analysis
  • Tools: Programming, R, R Shiny, SAS, Statistical Network Meta-Analysis
  • Citizenship: Open to all students
Summary

P&G uses performance tests to compare new prototypes with products on the market. It is of interest to compare all product pairs accounting for study-to-study variability, and pooling information across products repeated in multiple studies.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Supply Chain
  • Keywords: Business, Market Trends, Predictive Analysis
  • Tools: Anomaly Identification, Data Analytics
  • Citizenship: Open to all students
Summary

1) Improving the stream selection & ensemble algorithm 2) Developing a forecast calibration approach to ensure a stream selected based on historical performance is creating a forecast consistent with the history of the data and streams prior predictions.

  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Energy
  • Keywords: LangChain, Large Language Models, Machine Learning, Neural Networks, NLP, Nuclear Energy
  • Tools: GitHub, Hugging Face, Python
  • Citizenship: Open to all students
Summary

We intend to develop a chatbot using open source LangChain components. The tool will interact conversationally and generate proposals based on natural language prompts from the from the user. The model will be fine-tuned with nuclear energy domain know