Develop and apply Ridge Regression models; conduct statistical tests such as Mann-Whitney U test for analyzing neuronal data with Python.Built theoretical models to interpret data in high-dimensional space, using Scikit-learn to implement Principal Component Analysis (PCA) and other dimensionality reduction techniques.Design custom functions to compute metrics like Participation Ratio and dimensionality.Create data visualizations, including spike rate comparisons, 2D PCA… Show more Develop and apply Ridge Regression models; conduct statistical tests such as Mann-Whitney U test for analyzing neuronal data with Python.Built theoretical models to interpret data in high-dimensional space, using Scikit-learn to implement Principal Component Analysis (PCA) and other dimensionality reduction techniques.Design custom functions to compute metrics like Participation Ratio and dimensionality.Create data visualizations, including spike rate comparisons, 2D PCA projections, and Scree plots, toevaluate neural responses across various experimental conditions using Matplotlib. Show less

Aggregated and normalized 6,000+ entries of ESG and financial data from Japanese powerhouse companies using Excel and pandas.Performed multiple regression analyses to assess correlations, presenting insights in an Executive Summary to senior management.Conducted literature review of 23 ESG studies and 8 potential competitors, informing strategic decisions and market positioning.

Summer research intern focused on state voting rights for Americans with disabilities. My research included building a database of state constitution’s code regarding voting rights, marking discriminatory language towards Americans with physical and cognitive disabilities, reporting research in a written and published white paper, and drafting code proposals for state legislators.