Data Science Capstone Experience
Timeline
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January 28, 2025Experience start
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February 1, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 15, 2025Weekly Employer Check-in
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February 22, 2025Weekly Employer Check-in
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May 10, 2025Experience end
Timeline
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January 28, 2025Experience start
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February 1, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 15, 2025Weekly Employer Check-in
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February 22, 2025Weekly Employer Check-in
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March 1, 2025Weekly Employer Check-in
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March 8, 2025Weekly Employer Check-in
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March 8, 2025Midterm grade feedback
Email Dr. Estacio-Hiroms at kemelli@utdallas.edu with midterm grades for the students. Grades may be assigned individually or to the team as a whole.
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March 15, 2025Weekly Employer Check-in
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March 29, 2025Weekly Employer Check-in
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April 5, 2025Weekly Employer Check-in
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April 12, 2025Weekly Employer Check-in
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April 19, 2025Weekly Employer Check-in
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May 3, 2025Sponsor Approval Form
Complete and sign the Sponsor Approval Form. It contains information about the capstone project and instructs whether the team can present their achievements during the UTDiscovery Day.
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May 3, 2025Weekly Employer Check-in
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May 3, 2025Final grade feedback
Email Dr. Estacio-Hiroms at kemelli@utdallas.edu with midterm grades for the students. Grades may be assigned individually or to the team as a whole.
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May 10, 2025Final presentation to industry partner
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May 10, 2025Experience end
Experience scope
Categories
Machine learning Databases Data analysis Data modelling Data scienceSkills
business presentations data extraction data processing data science python (programming language) machine learning project management predictive modeling data visualization teamworkThis experience is designed to immerse learners in a practical data science project, where they will apply their skills in data extraction, processing, and analysis to solve real-world problems. Learners will work collaboratively in teams to define a problem, gather and analyze data, and develop computational tools to derive insights. They will leverage their programming expertise in Python and R, along with statistical and machine learning techniques, to create predictive models and data visualizations. The experience aims to enhance teamwork, project management, and communication skills, culminating in a comprehensive project report and presentation.
Learners
- Comprehensive project report detailing problem formulation, data collection, analysis, and solution development.
- Presentation of project outcomes, including data visualizations and predictive model results.
- Developed computational tools or scripts for data processing and analysis.
- Documentation of the project workflow and methodologies used.
- Team reflection report on project management and collaboration experiences.
Project timeline
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January 28, 2025Experience start
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February 1, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 15, 2025Weekly Employer Check-in
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February 22, 2025Weekly Employer Check-in
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May 10, 2025Experience end
Timeline
-
January 28, 2025Experience start
-
February 1, 2025Weekly Employer Check-in
-
February 8, 2025Weekly Employer Check-in
-
February 8, 2025Weekly Employer Check-in
-
February 15, 2025Weekly Employer Check-in
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February 22, 2025Weekly Employer Check-in
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March 1, 2025Weekly Employer Check-in
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March 8, 2025Weekly Employer Check-in
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March 8, 2025Midterm grade feedback
Email Dr. Estacio-Hiroms at kemelli@utdallas.edu with midterm grades for the students. Grades may be assigned individually or to the team as a whole.
-
March 15, 2025Weekly Employer Check-in
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March 29, 2025Weekly Employer Check-in
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April 5, 2025Weekly Employer Check-in
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April 12, 2025Weekly Employer Check-in
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April 19, 2025Weekly Employer Check-in
-
May 3, 2025Sponsor Approval Form
Complete and sign the Sponsor Approval Form. It contains information about the capstone project and instructs whether the team can present their achievements during the UTDiscovery Day.
-
May 3, 2025Weekly Employer Check-in
-
May 3, 2025Final grade feedback
Email Dr. Estacio-Hiroms at kemelli@utdallas.edu with midterm grades for the students. Grades may be assigned individually or to the team as a whole.
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May 10, 2025Final presentation to industry partner
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May 10, 2025Experience end
Project Examples
Requirements
- Developing a predictive model for customer churn using historical sales and customer interaction data.
- Creating a recommendation system for an e-commerce platform based on user behavior and purchase history.
- Building a time series model to predict stock prices or sales trends for a retail company.
- Conducting a text mining analysis to extract insights from customer feedback and reviews.
- Exploring the impact of different variables on product sales through regression analysis.
- Develop a robust predictive model, using active learning, that automates decision-making for compressor restarts, minimizing downtime and reducing manual intervention in fault diagnosis.
- Develop a learn-to-rank algorithm that incorporates pre-existing ranked research and development projects with human feedback to value future projects.
- Automate and facilitate the reporting process for the accounting and claims team within the reinsurance brokerage firm
- Use federated learning to create a model that can identify important features that contribute to call quality in a Call Detail Record (CDR) while protecting user data
- Create a dataset of James Webb Space Telescope images to train a deep learning model to predict the location or properties of known or unknown exoplanets.
- Develop a machine learning model to accurately predict Modified Vehicles Prices based on their relevant features.
- Collect and analyze data relating to labor trends, transportation trends, and market prices for precious and non-precious metals, to be presented dynamically in a dashboard
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
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January 28, 2025Experience start
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February 1, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 8, 2025Weekly Employer Check-in
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February 15, 2025Weekly Employer Check-in
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February 22, 2025Weekly Employer Check-in
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May 10, 2025Experience end
Timeline
-
January 28, 2025Experience start
-
February 1, 2025Weekly Employer Check-in
-
February 8, 2025Weekly Employer Check-in
-
February 8, 2025Weekly Employer Check-in
-
February 15, 2025Weekly Employer Check-in
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February 22, 2025Weekly Employer Check-in
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March 1, 2025Weekly Employer Check-in
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March 8, 2025Weekly Employer Check-in
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March 8, 2025Midterm grade feedback
Email Dr. Estacio-Hiroms at kemelli@utdallas.edu with midterm grades for the students. Grades may be assigned individually or to the team as a whole.
-
March 15, 2025Weekly Employer Check-in
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March 29, 2025Weekly Employer Check-in
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April 5, 2025Weekly Employer Check-in
-
April 12, 2025Weekly Employer Check-in
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April 19, 2025Weekly Employer Check-in
-
May 3, 2025Sponsor Approval Form
Complete and sign the Sponsor Approval Form. It contains information about the capstone project and instructs whether the team can present their achievements during the UTDiscovery Day.
-
May 3, 2025Weekly Employer Check-in
-
May 3, 2025Final grade feedback
Email Dr. Estacio-Hiroms at kemelli@utdallas.edu with midterm grades for the students. Grades may be assigned individually or to the team as a whole.
-
May 10, 2025Final presentation to industry partner
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May 10, 2025Experience end