Brashon Ford
Dallas,TX
Summary
Data Scientist with expertise in predictive modeling, statistical analysis, and business insights. Adept at leveraging Python, SQL, and Tableau to deliver actionable solutions that enhance operational efficiency. Passionate about applying advanced analytics to solve complex challenges in logistics and data-driven industries.
Overview
8
8
years of professional experience
Work History
Lead Enrollment Counselor
National University
01.2021 - Current
- Built and analyzed Salesforce and Tableau dashboards to monitor key performance metrics, driving a 20% increase in team productivity through data-driven insights.
- Applied predictive models to enrollment datasets, delivering actionable insights that boosted student engagement KPIs by 15%.
- Conducted call reviews and designed data-based coaching strategies, improving team performance by 18%.
- Streamlined team workflows by integrating dynamic reporting tools, enhancing collaboration and performance alignment.
Admissions Tour Guide
Baylor University
01.2017 - 01.2020
- Optimized campus tour scheduling by analyzing attendance patterns, improving visitor satisfaction and engagement metrics by 20%.
- Designed interactive strategies informed by data insights, leading to higher engagement from prospective students and families.
Leasing Consultant
American Campus Communities
01.2019 - 01.2020
- Utilized data modeling techniques to identify key trends in rental behavior, increasing occupancy rates by 15%.
- Designed and executed a customer referral program based on historical data analysis, boosting referral business by 50%.
Education
Master of Science - Data Science
National University
San Diego, CA10.2024
MBA -
National University
San Diego, CA06.2023
Bachelor of Arts - Psychology
Baylor University
Waco, TX12.2020
Skills
- Data Analytics Tools: Python, SQL, Tableau, Power BI, R
- Machine Learning: Predictive Modeling, Regression, Time Series Analysis
- Business Impact: Data-Driven Decision-Making, KPI Reporting, Operational Efficiency
- Other Tools: TensorFlow, Pandas, SAS, MS Excel
- Agile framework
- Database management
Websites
Projects
Thesis: Alzheimer’s Detection and Severity Classification
- Engineered CNN models to analyze MRI data for severity classification, achieving 92% accuracy.
- Preprocessed 14,609 images using Python libraries (TensorFlow, Pandas) to develop predictive capabilities applicable to complex datasets in logistics and healthcare.
- Conducted comparative analyses of CNN and SVM models, optimizing results with confusion matrices and F1 scores.
Timeline
Lead Enrollment Counselor
National University
01.2021 - Current
Leasing Consultant
American Campus Communities
01.2019 - 01.2020
Admissions Tour Guide
Baylor University
01.2017 - 01.2020
Master of Science - Data Science
National University
MBA -
National University
Bachelor of Arts - Psychology
Baylor University
Similar Profiles
Lindsay LoubierLindsay Loubier
Academic and Finance Counselor III at National UniversityAcademic and Finance Counselor III at National University
Alec MorganAlec Morgan
Adjunct Professor at National UniversityAdjunct Professor at National University
Brittany AtesBrittany Ates
Military Enrollment Advisor - Remote at National UniversityMilitary Enrollment Advisor - Remote at National University