
Double major in Economics and Applied Mathematics & Statistics with expertise in quantitative analysis, critical thinking, and problem-solving. Gained practical experience in statistical modeling, data analysis, and econometric techniques through coursework, laying a strong foundation for excelling in finance, consulting, and data science. Proficient in SQL for data querying and manipulation, Tableau for data visualization, and Microsoft Excel for financial analysis and reporting. Seeking a role as a Financial/Data Analyst to leverage academic background and technical skills in SQL, Tableau, and Microsoft Excel for effective data-driven decision-making.
Data Analysis Project
Analyzed synthetic datasets using statistical programs like R. Applied single predictor linear regression and multiple predictors analysis to understand relationships between variables. Developed skills in data processing,including merging data files and addressing data quality issues. Gained experience in modeling and interpreting data,including identifying nonlinear relationships and interactions between variables. Presented results in a clear and concise manner through scientific writing. Modeled and interpreted complex datasets to derive actionable insights. Built a strong foundation in statistical analysis and quantitative reasoning.