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Microsoft - Social Analysis Platform
Open for Registration
  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Game
  • Keywords: Analytics, Data Engineering, Data Science, Games, Minecraft, Mojang Studio, Python
  • Tools: Azure, Databricks, ETL, Machine Learning, NLP, Python, Spark
  • Citizenship: Open to all students
Summary

This year’s project will explore using AI tools to generate insights from text, image and video content on social platforms to develop efficient pipelines to process and enrich multi-modal content. Create tools to improve how processed data and insights can be analyzed.

  • Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: University
  • Keywords: Belongingness, Factor Analysis, Python, Student Experience, Student Life
  • Tools: Data Cleansing, Data Exploration, R-Studio, Statistical Modeling, Technical Writing
  • Citizenship: Open to all students
Summary

In 2023-24 RecWell had close to 1.7 million entries. What does all of this data say about our students? What is the impact of engaging with the Recreation and Wellness Center on students? Does it impact their grades? Their feeling of belonging? This is what we want you to help us

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Supply Chain
  • Keywords: AI, Azure, Behavioral Analytics, Web Browser Extension, Website
  • Tools: AI forecast generation, Azure, Azure IoT, Data Analytics
  • Citizenship: Open to all students
Summary

Using the website data, this project will explore customer behaviors that will give clear insights into Marketing Decisions, Sales Discussions, and Inventory analysis. What results in a sale, and what prohibits customers from purchasing?

  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Athletics
  • Keywords: Pricing, Secondary Market Data, Stadium Mapping, Ticket Sales, Ticket Usage
  • Tools: Dash, Plotly, Python
  • Citizenship: Open to all students
Summary

Use ticket sales data and game day scan data from static files and auto generated .igy files. The map will provide an on-demand color coded visual of ticket type combinations and purchasing patterns. Scan data visual mapping and look at secondary market ticket pricing.

  • Lecture time: Thursday: 11:30:00 - 12:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Insurance
  • Keywords: Machine Learning, Python
  • Tools: Pattern Identification
  • Citizenship: Open to all students
Summary

When healthcare providers change reimbursement contracts, billed procedure codes may change in an attempt to maximize the provider’s revenue. Early identification through claims data analytics will help keep healthcare costs affordable for our members.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Insurance
  • Keywords: abnormality, Security, Unsupervised, Visualizations
  • Tools: Machine Learning, Pandas, Python, SQL
  • Citizenship: Open to all students
Summary

In the normal course of business, the security programs amount a staggering sum of data. Sifting through this data to discover irregular issues for devices, users, and logs is difficult and unwieldy. Author a framework capable of making these discoveries and detections.

  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Insurance
  • Keywords: Data Engineering, Fraud, Imbalanced Classification, Parameter Selection, Security
  • Tools: Jupyter, Machine Learning, Python, SQL
  • Citizenship: Open to all students
Summary

Using security-oriented telemetry, find actionable instances of fraud in near real-time. Determine the probability that a transaction constitutes fraud and begin workflow.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Research and Development
  • Keywords: Data Analysis, Feature Engineering, Python
  • Tools: Data Analytics, Feature Engineering, Python
  • Citizenship: Open to all students
Summary

This project primarily aims to categorize vehicles based on these usage metrics and the geographic areas where they operate.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Aerospace
  • Keywords: AI, Machine Learning, Python, UI/UX
  • Tools: Artificial Intelligence, Data Engineering, Python, Radar Data, UX
  • Citizenship: U.S. Citizens Required
Summary

Develop and test detection algorithms for the 3.5 GHz CBRS (5G) or similar bands where the primary users of the band are federal incumbent radar systems.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Government
  • Keywords: Data Visualization, Visualizations, Web Based Graphics
  • Tools: D3, NLP, Python, R
  • Citizenship: Open to all students
Summary

Three student teams will work together to determine whether congressional rhetoric has become more polarized over time. Team #1: Natural Language Processing: R, Python Team #2: Data Visualization Team #3: Web-Based Graphics: D3 programming