
Former student-athlete currently pursuing a Master of Science in Data Analytics at Rockhurst University, adept in transforming complex datasets into insightful financial reports using SQL, Excel, R, and Tableau. Poised to apply educational and work experience to add value to a team and achieve tangible results.
Rockhurst University
The objective was to employ advanced analytics to enhance graduation rates by identifying students at risk of not graduating within four years.
Accomplishments:
Probability Analysis: Calculated the probability of graduating within four years, providing a quantitative foundation for targeted interventions.
Gini Impurity Index: Evaluated the Overall Gini Impurity Index, gaining insights into the diversity and homogeneity of the dataset.
Gender Impact Assessment: Conducted a thorough analysis to determine the impact of gender on graduation rates, identifying potential gender-based disparities.
Data Visualization: Plotted GPA against SAT scores, enabling a visual exploration of the relationship and distribution of key academic indicators.
Decision Tree Modeling: Implemented recursive partitioning to develop a decision tree, identifying critical predictors influencing graduation outcomes.
Random Forest Implementation: Applied Random Forest for ensemble learning, improving model accuracy and resilience against overfitting.
Policy Recommendations: Pruned the decision tree for enhanced interpretability, leading to strategic policy recommendations for targeted student support.
Outcomes:
Developed a predictive model that aids in proactive identification and support for students at risk of not graduating within the desired timeframe.
Enhanced decision-making processes by providing actionable insights derived from statistical analysis and machine learning techniques.
Contributed to the establishment of data-driven policies, fostering a culture of continuous improvement in education outcomes.