Master's Thesis
Developed an innovative malaria model, exploring the dynamics of malaria transmission between humans and mosquitoes through in-depth analysis of chemotaxis, diffusion, Turing bifurcation, and logistic growth. Established correlations among these factors and implemented the model using FlexPDE6 and Python for comprehensive insights.
Data Science
- Analyzed variables to diverse datasets, including weather and location information, to derive actionable insights to enhance Uber's understanding of demand patterns, contributing to strategic decision-making for optimized service.
- Employed statistical modeling to assess the quality and time of effect of COVID-19 vaccine doses, and utilized probability distributions and confidence intervals to provide insights for decision-making on batch planning and dosage effectiveness.