Kentha Lorie Ninganza

• Analyzed randomized clinical trial data (N=177) to assess effects of soluble corn fiber and calcium on bone mineral content using hypothesis tests and regression models in R; created derived variables and addressed missing data using appropriate methods
• Coordinated analytic workflows across four study arms and collaborated with four research groups to manage data, interpret results, and present findings to investigators
• Found combined fiber and calcium supplementation produced statistically significant increases in bone mineral content versus placebo, with stronger effects observed among female participants
• Applied health sciences knowledge to analyze complex datasets and extract meaningful insights for research projects

• Managed, cleaned, and validated large administrative student enrollment datasets in Excel to improve data accuracy and consistency for institutional reporting
• Assisted design, promotion, and data collection for a student survey on generative AI and academic writing (50% response rate); processed and prepared survey data for analysis
• Followed privacy protocols including HIPAA and maintained secure record-keeping for sensitive institutional data
• Institutional Research Office

Built and tested machine learning models in Python to predict stock-price direction, achieving 89% accuracy; applied train-test split, cross-validation, tuning to reduce overfitting

• Collaborated with a three-person team to analyze large datasets, validate model performance, and document reproducible code and workflows

• Assisted with inventory management, restocking supplies, and maintaining an organized pantry environment
• Provided respectful and professional support to community members accessing services
• Supported food distribution by preparing and organizing food packages for individuals and families experiencing food insecurity
• (Food Pantry)

• Applied quantitative and analytical methods to manage a $15,000 simulated investment portfolio, evaluating economic indicators to support data-driven decision-making
• Placed 2nd overall in the competition, earning a $10,000 scholarship