Brandon D.
Vice President, Data Science at Mastercard
- Role
- Vice President, Data Science at Mastercard
- Location
- O\'Fallon, MO, US
- LinkedIn followers
- 500 followers
About Brandon D.
I am a Vice President of Data Science at Mastercard, where I leverage my data engineering and machine learning skills to deliver innovative solutions within the payment fraud prevention domain. I have six years of experience in data science, with a focus on healthcare analytics and patient outcomes. I hold certifications in Six Sigma, Epic Clarity Data Model, and Machine Learning from ASQ, Epic, and Coursera, respectively.Previously, I worked as a Senior Data Scientist at Mercy, a leading healthcare organization. There, I deployed and maintained Apache Airflow infrastructure, developed predictive models for diabetic patients, automated financial closing workflow, and mentored data scientists. I also designed and implemented a patient identification application that increased enrollment by more than seven times, improved recommendation algorithm by 10%, and designed a survival neural network model to identify sepsis risk 12 hours prior to onset. I have published my research on sepsis prediction in the Journal of Clinical Monitoring and Computing.
Experience
Vice President, Data Science
Dec 2025 — Present · St Louis, MO, US
Education
Purdue University
B.S., Mechanical Engineering Technology
2003 — 2007
Texas Tech University
M.S., Systems Engineering
2008 — 2010
Skills
- Failure Mode and Effects Analysis (Fmea)
- Statistics
- Six Sigma
- Quality Auditing
- Mechanical Engineering
- Spc
- Statistica
- R
- Sql
- 5s
- Design of Experiments
- Manufacturing
- Lean Manufacturing
- Fmea
- Python
- Scrum
- Sap Netweaver
- Quality Management
- Communication
- Ms Project
- Hadoop
- Agile Project Management
- Product Development
- Quality Control
- Continuous Improvement
- Sap Lumira
- Machine Learning
- Advanced Product Quality Planning (Apqp)
- Supplier Quality
- Dmaic
- Manufacturing Engineering
- Leadership
- Minitab
- Sap Hana
- Statistical Process Control (Spc)
- Root Cause Analysis
- Engineering
- Veterans
- Project Management
- Sap Implementation
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