Experience

University of California, Berkeley - School of Law

• United States
• Higher Education
• 100 - 200 Employee

• Research Assistant

  • Jan 2023 - Present

  - Conducted rigorous statistical analyses employing Linear Regression, Logistic Regression, and Gradient Boosting models on a data set of over 700 venture capital contracts. - Systematically compared the analyzed contracts with the NVCA template, leading to a nuanced understanding of standardized versus unique contract features and their potential correlation with the CEO’s race and ethnicity. - Constructed training and model data sets to facilitate in-depth contract analysis, applying… Show more - Conducted rigorous statistical analyses employing Linear Regression, Logistic Regression, and Gradient Boosting models on a data set of over 700 venture capital contracts. - Systematically compared the analyzed contracts with the NVCA template, leading to a nuanced understanding of standardized versus unique contract features and their potential correlation with the CEO’s race and ethnicity. - Constructed training and model data sets to facilitate in-depth contract analysis, applying Nearest Neighbor testing to determine the similarity of contracts, thereby identifying clusters and outliers based on various contract parameters. Show less - Conducted rigorous statistical analyses employing Linear Regression, Logistic Regression, and Gradient Boosting models on a data set of over 700 venture capital contracts. - Systematically compared the analyzed contracts with the NVCA template, leading to a nuanced understanding of standardized versus unique contract features and their potential correlation with the CEO’s race and ethnicity. - Constructed training and model data sets to facilitate in-depth contract analysis, applying… Show more - Conducted rigorous statistical analyses employing Linear Regression, Logistic Regression, and Gradient Boosting models on a data set of over 700 venture capital contracts. - Systematically compared the analyzed contracts with the NVCA template, leading to a nuanced understanding of standardized versus unique contract features and their potential correlation with the CEO’s race and ethnicity. - Constructed training and model data sets to facilitate in-depth contract analysis, applying Nearest Neighbor testing to determine the similarity of contracts, thereby identifying clusters and outliers based on various contract parameters. Show less



Focus Features

• Musicians
• 100 - 200 Employee

• Marketing Data Analyst

  • May 2021 - Aug 2021

  - Leveraged Python libraries such as NumPy and Pandas in Jupyter Notebooks to preprocess and analyze complex marketing datasets; constructed insightful data visualizations using advanced Tableau functionalities and Power BI to facilitate better understanding of business metrics and performance among stakeholders. - Utilized SQL, particularly MySQL, to manage and manipulate large databases; effectively extracted and analyzed necessary data, significantly improving the efficiency and… Show more - Leveraged Python libraries such as NumPy and Pandas in Jupyter Notebooks to preprocess and analyze complex marketing datasets; constructed insightful data visualizations using advanced Tableau functionalities and Power BI to facilitate better understanding of business metrics and performance among stakeholders. - Utilized SQL, particularly MySQL, to manage and manipulate large databases; effectively extracted and analyzed necessary data, significantly improving the efficiency and reliability of the marketing data analysis process. - Performed statistical analysis, including Hypothesis testing and Regression analysis, to uncover hidden patterns from voluminous data. These analyses were crucial in identifying valuable insights, thus driving improvement opportunities for marketing strategies and campaigns. Show less - Leveraged Python libraries such as NumPy and Pandas in Jupyter Notebooks to preprocess and analyze complex marketing datasets; constructed insightful data visualizations using advanced Tableau functionalities and Power BI to facilitate better understanding of business metrics and performance among stakeholders. - Utilized SQL, particularly MySQL, to manage and manipulate large databases; effectively extracted and analyzed necessary data, significantly improving the efficiency and… Show more - Leveraged Python libraries such as NumPy and Pandas in Jupyter Notebooks to preprocess and analyze complex marketing datasets; constructed insightful data visualizations using advanced Tableau functionalities and Power BI to facilitate better understanding of business metrics and performance among stakeholders. - Utilized SQL, particularly MySQL, to manage and manipulate large databases; effectively extracted and analyzed necessary data, significantly improving the efficiency and reliability of the marketing data analysis process. - Performed statistical analysis, including Hypothesis testing and Regression analysis, to uncover hidden patterns from voluminous data. These analyses were crucial in identifying valuable insights, thus driving improvement opportunities for marketing strategies and campaigns. Show less