Introduction

Data Analytics Projects

Partner with the RBDC to tackle business-specific problems using data and data analytics projects to provide insights through off-site consulting, on-site internships, and employment pipelines.

Projects are done on a tri-annual basis. The 13-week projects start in January, April, and September. The RBDC is limited in the number of projects that it can accept, so reach out now to ensure your project can be completed. Please contact us to learn more or to discuss a potential project.

Project Plan $4.5K

  • 450 – 750 Student Hours of Labor
  • Dedicated Upper-class Technical Project Manager and Faculty Mentoring
  • 1 Consulting Level Project

Consulting Plan $5K (Annual)

  • 450 – 750 Student Hours of Labor
  • Dedicated Upper-class Technical Project Manager and Faculty Mentoring
  • 1 Consulting Level Project
  • 3 Society Level Projects
  • Priority Project Scheduling
  • Discounted Follow-on Consulting Projects

Collaboration Plan $8K (Annual)

  • 750 – 1,250 Student Hours of Labor
  • Dedicated Upper-class Technical Project Manager and Faculty Mentoring
  • 2 Consulting Level Project
  • 3 Society Level Projects
  • Preferred Priority Project Scheduling
  • Discounted Follow-on Consulting Projects

J Hathaway

Data Science Professor at BYU-Idaho

Experienced Data Science with a demonstrated history of working in the higher education and industry. Skilled in Statistical Modeling, Analytics, Numerical Simulation, and data visualization. I am currently at Brigham Young University – Idaho in the Mathematics department as the lead of our data science program. I love the programming language R and am the lead teacher of our key data science classes at BYU-I.

Project Details

The annual plans feature a combination of faculty expertise, a technical project manager, and capable students. By collaborating with guided student projects, you are able to leverage data scienists and analysts at a fraction of the cost of hiring an employee. These projects can complement your existing workflows and business objectives. With multiple projects throughout the year, we can help you to find the graduating talent that is the perfect fit your team.

Each project (society and consulting) features a competively selected student technical project manager who contributes both data analytics skills and project management abilities to deliver objectives and meet timeframe requirements. The society-level projects are smaller in scope. The student teams work six to ten hours per week for a period of twelve weeks. Consulting-level projects are more complex with three to five upper-class students contributing about eight hours per week each for thirteen weeks.

Past Projects

Past clients have engaged the data science students in a variety of projects. Below are some examples of past work.

Consulting Level Projects

Idaho-Dunes RV

Idaho-Dunes RV (9/19-12/19) – Consulting Class

BYU-I students found weather forecast data and used Idaho-Dunes RV daily use data to build a predictive model of nightly camp usage based on regional weather forecasts to help the owner manage employee scheduling and camp setup based on predicted camp usage. All work was done using the R programming language.

Henry Schein

Henry Schein (9/18 – 12/18) – Consulting Class

Students developed an R package that automated client’s machine learning applications around client retention (https://github.com/HSPS-DataScience/HSPSModelR). Added functionality to handle client specific data processing and manipulation as well as further model validation and predictions.  Saved client over 3-months work by completing the project.

Idaho Steel

Idaho Steel (9/18 – 12/18) – Consulting Class

Students developed sales and HR employee management dashboards using PowerBI and Shiny.  BYU-I provided the client with detailed SQL statements to pull and format data for use in dashboards.  Final PowerBI dashboards were then internalized into company use with a BYU-I intern the following semester.

A Local Credit Union

Credit Union (9/19 – 12/19) – Consulting Class

Students supported the analytics team in evaluating customer retention and transition among client’s credit offerings. The R programming language was used to develop a final report with guidance on preferred credit offerings among those evaluated. 

Fortune 500 Energy Company

Fortune 500 Energy Company (9/19 – 12/19) – Consulting Class

Students completed an exploratory data discover to find missing data in the client’s decision pipeline.  R-Studio Shiny dashboards were developed and provided to the client for use. Gigabytes of data were found, processed, and formatted for use by the client.

Society Level Projects

Henry Schein

Henry Schein (9/18 – 12/18) – Society Project

BYU-I students worked with client to build a dashboard that summarized survey results from a dental survey used over the United States.  Spatial maps and data interactions were developed for the client to explore the survey. The R-Studio Shiny package was used to deliver the dashboard.

Imagine Learning

Imagine Learning (9/19 – 4/20) – Society Project

Found and processed data from over 2000 US school district websites to help client understand the performance and contact information of the school districts.  The R programming language was used for web-scraping and data manipulation.

Past Clients

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