Automated Cross-Platform Marketing System

Design and prototype an automated marketing workflow using tools like Make.com, OpenAI, and social media APIs to streamline content distribution, repurpose content across platforms, and automate recurring posts and basic engagement—enhancing efficiency while providing students hands-on experience with real-world marketing automation.

Artificial Intelligence & Machine Learning for Sports Data Site

SportWise by Rolling Insights provides users with no-code access to sports statistics and other data to enable users to make more informed Fantasy and Betting decisions. Users select from a directory of data including historical and present season stats, Fantasy League data, and projections to create a personalized view of the data, which updates daily. Rolling Insights is looking to grow the directory of data with a variety of additional data sources such as projection engines or advanced analysis that update daily related to team and player performance. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to projecting player and team performance, or findings other insights in the data so that it can be added to the data directory in SportWise. This will involve several different steps for the students, including: Conducting background research on our existing product and sport industry projection requirements. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem. Examples of Problems we might like to solve: Historical and Projected Match Up performance (Team A vs Team B) Historical and Projected Player performance for select key stats Historical and Projected team performance with player combinations (Team A with Player A and B, versus Team B with Player C and D) Home vs Away historical performance & projections Others, we're open to suggestions!

UX Design + Front End Build for Fantasy Sports Data Analytics WebApp

Rolling Insights is looking for an enthusiastic User Experience Designer and/or Front End Developer to help improve user retention and engagement on an existing product. This will be accomplished with an audit to our existing flow, creating design files for our Web App, and/or building out the front end UI. The web app contains functionality such as: browsing a catalogue of pre-built sports data models creating new sports data models choosing data modifying data inputs submitting dataspace to the community creating custom filters/views creating calculated columns Roles and Responsibilities Work with Product and Development team to design and build an improved front end UI Work within the constraints of the existing webapp framekworks for the Build high fidelity stills of the app interface in adobe/figma Build design elements in format useful for development Build front end UI working with Development team Work independently and in partnership with Product Manager Providing best practice recommendations for usability and user engagement

Digital Marketing Strategy for Sports Data Start Up

Rolling Insights was founded in 2018 as a startup incubated within Rolling Wave Consulting. Rolling Insights is a remote-only startup focused on building no-code sports analytics solutions for avid fantasy managers and sports data lovers. Rolling Insights recently acquired new B2B technology called Data Feeds that provides sports data to developers and businesses via API delivery. Rolling Insights is looking for a comprehensive and actionable digital marketing strategy to support the launch and growth of this new product offering. We want students to help us develop a digital marketing strategy to grow and engage our target market. We’d like to know how we can maximize different channels and what will work best for us. We want an actionable digital marketing plan that we can follow, or hand off to someone to execute. The main questions we’d like students to help us answer are the following: How should we segment our target market? How should we promote our company? How should we promote our new product? What digital channels should we utilize? (ie: social media, email marketing, participation in online forums) What budget is appropriate for advertising? What messaging should we use? How can we optimize the website for SEO? The desired outcome of this project is an actionable digital marketing plan that can be handed off to Rolling Insights team members to execute.