Completed a rigorous MBA program with a specialized concentration in Data Analytics, combining traditional business strategy with cutting-edge analytical techniques. The program emphasized quantitative analysis, data-driven decision-making, and strategic leadership in technology-driven environments.
Coursework integrated statistical modeling, predictive analytics, and business intelligence using industry-standard tools including Python, R, SQL, and Excel. The curriculum was designed to prepare leaders who can bridge the gap between technical data analysis and strategic business outcomes.
Core Competencies Developed
Business Strategy & Leadership
- • Strategic Planning & Execution
- • Organizational Behavior & Management
- • Financial Analysis & Decision Making
- • Operations Management
- • Marketing Strategy & Analytics
Data Analytics & Technology
- • Statistical Modeling & Predictive Analytics
- • Business Intelligence & Data Visualization
- • Python, R, SQL Programming
- • Machine Learning Applications
- • Database Management & Design
Capstone Projects & Research
Data-Driven Strategic Planning for Public Sector Technology
Developed a comprehensive framework for evaluating technology modernization initiatives in government agencies, incorporating cost-benefit analysis, risk assessment, and stakeholder impact modeling.
Strategic AnalysisPublic SectorTechnology Modernization
Predictive Analytics for Child Welfare Outcomes
Applied machine learning techniques to analyze patterns in child welfare data, developing predictive models to improve case management and resource allocation decisions.
Machine LearningSocial ImpactData Science
Technical Skills & Tools Mastered
Programming & Analysis
- • Python (Pandas, NumPy, Scikit-learn)
- • R (Statistical Analysis)
- • SQL (Advanced Queries)
- • Excel (Advanced Analytics)
Visualization & BI
- • Tableau
- • Power BI
- • Matplotlib/Seaborn
- • ggplot2
Business Applications
- • Financial Modeling
- • Market Research
- • Operations Analytics
- • Strategic Planning
The MBA program directly enhanced my effectiveness as Project Director at Louisiana DCFS, where I apply data-driven decision-making principles to technology modernization initiatives. The analytical frameworks and strategic thinking developed through the program have been instrumental in:
- • Evaluating vendor proposals using quantitative scoring models
- • Developing KPIs and success metrics for large-scale technology projects
- • Creating data governance strategies for child welfare information systems
- • Leading cross-functional teams with enhanced business acumen
- • Presenting complex technical concepts to executive stakeholders