13th Annual ASA DataFest
- Achieved finalist status, ranking in the top 14 out of over 85 teams in a data-driven educational content optimization competition.
- Spearheaded a team project focused on enhancing student engagement and course completion rates through strategic modifications in question design and assessment criteria.
- Utilized advanced data analytics in R to identify optimal retry strategies and character minimum requirements, significantly improving question response quality and student learning outcomes.
- Employed statistical modeling to analyze the impact of question difficulty and format on student - accuracy and engagement, deriving actionable insights for educational content enhancement.