Sanskar Bista Email & Phone Number

Washington, Dc, Us

Washington Dc-Baltimore Area

- Utilized R, SAS, and/or SQL to clean, validate, and analyze data related to matters in Antitrust and Patent Litigation. Managed and organized large, multi-dimensional databases for analysis.- Conducted qualitative review/research of legal documents, created footnotes/citations, and organized case information for expert reports and business development projects.- Assisted in technical development programs for incoming junior staff. Collaborated with other junior staff to conduct in-person training related to R programming.

Fairfax, Virginia, United States

• Collaborated with a team of undergraduate research assistants to conceptualize and develop research questions for a qualitative study on higher education outcomes• Developed a study protocol and interview guide for the project and practiced conducting in-depth interviews with student participants• Observed and conducted interviews with students to better understand their experiences with higher education

Arlington, Virginia, United States

• Studying foundational and contemporary writings in political economy by notable scholars and applying these ideas in academic and policy research. • Attending a series of conversations with various Mason faculty and Mercatus scholars

Washington Dc-Baltimore Area

• Conducted research on the economic and legal implications of the Social Cost of Carbon and its effects on corporate sustainability, climate-risk disclosures, and business costs.• Aided in an ongoing legal dispute by loading, cleaning, validating, and analyzing payer claims data using SQL.• Conducted research on Medicare Risk Adjustments and updated key databases to provide the firm with accurate and relevant data for future modeling and analysis.

Washington Dc-Baltimore Area

• Utilized R and Power BI to clean and visualize data correlating chronic absenteeism and homelessness for an appendix on chronic absenteeism in K-12. • Presented data findings to high-ranking government officials within the Department of Education at interagency meetings.• Utilized SAS Enterprise Guide to create a Pilot Dimensional Data Warehouse to push for an Enterprise-Wide Analytics Platform using data systems comprising the universe of K12 schools (Common Core of Data) and postsecondary institutions (Integrated Postsecondary Education Data System)