• Assisted research lab in the execution of two qualitative studies, contributing to the creation of online toolsPursuing Usable and Useful Data Downloads Under GDPR/CCPA Access Rights via Co-Design:• Aided with participant recruitment and led 12 focus groups to collect and analyze data from 42 participants•Documented findings in a technical paper published in a computing conference, SOUPS 2021Understanding Machine Learning Fairness in Practice:• Designed and executed an IRB-approved research study and determined the types of data to be collected• Crafted and edited two interview scripts for semi-structured one-hour interviews • Recruited participants via a Qualtrics screening survey and interviewed eight eligible respondents• Utilized Miro for affinity diagramming to analyze interview data and derive meaningful insights• Provided technical support to research colleagues by answering questions and guiding them in the use of tools such as Miro, Tactiq, and Qualtrics for tasks like recruitment, data collection, and analysis

• Implemented business process improvements to meet LaSalle’s digital transformation goals, reducing completion times when employees performed tasks using a property management software• Facilitated requirements gathering by interviewing four company employees about the manual tasks they perform, identifying opportunities for process automation• Presented automation recommendations to supervisors and documented requirements for two use cases• Communicated regularly with stakeholders to address updates and deliver successful automation solutions• Managed the installation of UiPath Studio to automate one of the processes and ensure implementation and integration of the automation into current business operations• Guided employees through informal UiPath training, offering high-level overviews of UiPath and itsfunctionalities, along with walkthroughs of an automation deployment• Collaborated with the development team to automate and integrate a second procedure

• Accepted to Princeton University’s Public Interest Technology Summer Fellowship and matched with the Consumer Financial Protection Bureau to work as a developer intern• Optimized process efficiency by reducing the technologies and steps required for an examiner capacity data collection process by launching a dashboard and application prototype using the Microsoft Power Platform• Maintained the proper functioning of the application prototype by continuously testing, identifying and resolving technical issues, and applying necessary updates• Cataloged examiner work statuses by storing and managing data in Dataverse • Maximized end user experience by delivering the prototype in a Microsoft Teams environment• Provided data insights into forecasted examiner capacity by developing a Power BI dashboard• Conducted eight briefings for senior leadership, walking them through the application prototype anddashboard, and explaining how to utilize their functionalities

• Selected to be part of a small cohort of students each paired with a mentor working on data science projects • Attended weekly talks from different professionals working in data science • Worked with SUPERgroup on two projects; fairness in machine learning, and data downloads • Created a study design to collect and analyze qualitative data from interviews of different ML stakeholders• Presented on the current state of the projects I worked on and future developments

• Prepared for college by studying writing, critical thinking, and math in a high-achieving, low-SES cohort• Attended two fully-paid university summer programs• Held information sessions to recruit freshmen from my high school who were good candidates for MMLA