- Improved opportunity scoring model, boosting sales probability prediction accuracy. Presented insights and model explanations to the sales team, enhancing data-driven decision-making.- Analyzed customer sauna session data, identifying patterns and error trends, which contributed to improved product diagnostics and user experience.- Developed and presented detailed visualizations of lead patterns during holidays, leading to data-backed marketing strategies.

- Conducted a comprehensive analysis of diversity in dermatology using AAMC and U.S. Census data and presented research at the 2023 Joint Statistical Meetings in Toronto, ON- Developed an R Shiny application, enabling JSM participants to explore data trends interactively, improving accessibility for research analysis.- Engineered features from CardioMEMS sensor data to predict cardiovascular disease-related hospitalizations, laying groundwork for machine learning models.