Anna Glass Email & Phone Number

Charlottesville, VA

• Leverage GIS mapping and data analytics to drive the development of local and utility-scale renewable energy projects, accelerating the clean energy transition across the United States.
• Develop and optimize GIS applications, workflows, and databases using Python.
• Synthesize and analyze over 50 datasets to generate comprehensive buildable area assessments to optimize site selection for wind and solar energy projects.

Arlington, Virginia, United States

• Employed as a consultant to complete data analysis, data visualization, and machine learning analysis tasks.
• Developed machine learning tools to improve water access in support of the Water Point Data Exchange (WPdx), the largest rural water open data platform with almost one million water point records from over 50 countries.
• Corresponded with NGOs, government offices, and charities to acquire over 120K new water point data records.
• Used Esri ArcGIS tools and Python to develop maps to support over 500 water access projects.

• Chosen as one of 5 from over 90 applicants to participate in a highly selective, international security-focused undergraduate think tank at the College of William & Mary.
• Wrote a white paper forecasting the political and environmental risks of increased reliance on desalinated water.
• Participated in collaborative brainstorming sessions to assist research fellows and supervised the work of a student intern.
• Worked with academics and members of the national security community to identify an emerging international challenge and propose a solution, including contacting and interviewing over 20 area experts.
• Presented finished white paper to over 175 members of the foreign policy community including the Atlantic Council, Brookings Institution, CSIS, Joint Forces Staff College, Peterson Institute, USAID, and World Resources.

Kampala, Uganda

• Selected in a competitive process to receive a stipend to spend eight weeks in Kampala, Uganda to compare the social and economic effects of providing smartphone access versus an equivalent monetary stipend for women.
• Developed a methodology for the randomized control trial in Kampala, Uganda, building off of past studies in Malawi and Tanzania.
• Analyzed survey data using Python to diffuse findings from the study.

Williamsburg, Virginia, United States

• Published three geospatial analytics articles with partners including the National Geospatial-Intelligence Agency and the Global Environment Facility
• Analyzed environmental change resulting from policy initiatives with using ArcGIS, Google Earth Engine, GeoJSON, and Maxar satellite imagery, including the creation of over 25 maps and data visualizations.
• Organized monthly training sessions for a team of 16 research assistants to improve geospatial analytics technical skills.

Williamsburg, Virginia, United States

Williamsburg, Virginia, United States

• Selected from over 90 applicants to participate in a highly selective undergraduate think tank at the College of William and Mary.
• Collaborate with research fellow to analyze deliberative democracy as a solution for rising political polarization and declining political participation.
• Participate in collaborative feedback and editing sessions with other research interns and fellows, critiquing individual projects on subjects including climate change relocation, disinformation, and predatory loaning.
• Conduct extensive open-source research involving 150+ documents.
• Conduct interviews with international security and policy experts on the subject of deliberative democracy as a solution for affective political polarization.
• Present research project at an end-of-year symposium with 150+ attendees.

Williamsburg, Virginia, United States

• Evaluated government responsiveness in Mumbai, India using machine learning and non-English text analysis.
• Developed a machine learning algorithm to classify citizens’ public service complaints and associated government responses, achieving the highest accuracy out of three research assistants at 92.5%.
• Surveyed existing literature and develop a comprehensive spreadsheet describing housing policies in low- and middle-income countries, including China, Singapore, Brazil, and India.

Bachelor Of Science - Bs, Data Science & Government

Renewable Energy, Technology, And Resource Economics