Click headings to explore all projects within the Organisations!
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Cleaning and analyzing large-scale data on academic uptake, churn, and yield; applied root cause analysis to identify improvement areas. Create dashboards and visual reports in Python and Power BI to drive data-informed strategic decisions. Project: Conducting PCA, LDA, and cluster analyses to categorize student career pathways based on courses taken.
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Used red-teaming and data analytics to assess performance of AI systems in pharmaceutical data evaluation. Applied sentiment and trend analysis to textual data for usability assessment.
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Project: (Practicum) Mental Health Venture Collaboration Role: Working on leveraging Machine learning and Natural Language Processing techniques to develop an AI-based mental health intervention.
Learning Outcomes: Python, Data Analysis, Machine Learning
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Responsibilities: Working as a researcher with Wysa, an AI conversational agent for mental health support. Testing efficacy and usage using mixed-method approaches and RCTs. Conducting statistical testing, including sample size calculations, regression models, analyses of variance, logistic regressions, and simple descriptive and inferential statistics. Conducted R programming training sessions for the team.
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Honours Student (PSYO 490B) Find my full thesis here. Studied individual differences contributing to COVID-19 vaccine hesitancy and conspiracy beliefs. Conducted literature reviews, compiled measures, and developed questionnaires using Qualtrics. Created consent and debriefing forms. Considered appropriate statistical tests for analysis, and conducted data analysis. Presented the results in two conferences, and completed an honors thesis manuscript. Here are the the presentations with findings:
Psychology Undergraduate Research Conference
Interdisciplinary Student Health Conference