Mark Doman

I lead development of the Python data science "engine" at Liaison which supports the company's higher education predictive analytics platform, Othot. I build and review custom models for clients to help achieve their enrollment and retention goals. I work on cloud-based solutions to partner with our SaaS platform development team which delivers the most powerful analytics in the industry.

As an early start-up employee, I wore many hats. I was primarily responsible for preparing client data for model building and configuring analytics software for higher education clients. I also drove innovative approaches to automate and validate configuration workflows.

I was a consultant at EY, where I worked on financial crimes analysis, particularly anti-money laundering (AML) projects. I performed due diligence on high risk banking clients and contributed to data reporting tools used to organize the project.

Georgia Tech's Master of Science in Analytics is a hybrid data science and analytics degree offered interdisciplinarily through GT's Colleges of Computing, Business, and Engineering. I expect to graduate in 2026.

I graduated with a Major in Finance & a Minor in Computer Science. I began my analytics journey through a project-based course, Applied Business Analytics, and sought to complement my business education with a technical skillset.