Aug 2024 – Apr 2025 · 8 mos · Raleigh, North Carolina, United States

• North Carolina State University’s Institute for Advanced Analytics houses the first M.S. in Analytics program in the U.S., known for a 93% job placement rate at graduation and an average base salary of $108K (Class of 2024, 3-year average).
• As a Graduate Teaching Assistant, I mentored students in applied statistics and machine learning, supporting homework, projects, and remediation sessions.
• I also collaborated with instructors to identify learning gaps and provided targeted support to strengthen students’ understanding of regression, classification, and model evaluation.
• By the end of the course, students I mentored demonstrated improved performance on projects and assessments.
• This experience strengthened my ability to explain complex quantitative concepts and foster student success.

May 2024 – Aug 2024 · 3 mos · Los Angeles, California, United States · On-site

• Netflix is the most subscribed to video streaming service worldwide. I worked on the Studio & Creative Production Data Engineering team, which is responsible for developing and maintaining data pipelines relevant to in-house productions. Netflix is scheduled to release 157 originals in 2024.
• My main contribution was improving the efficiency of an internal tool’s data pipeline, reducing tech debt when incorporating this tool into the larger ecosystem of stable tools. This involves
• deprecating R code and replacing it with PySpark code,
• refactoring the existing data model to improve query performance, and
• switching existing data sources to those of higher quality and maintainability.
• While migrating source tables, I had to coordinate with a sister team to ensure that the required fields were available in the new sources and the data quality of the new source is better than the old one.
• Through this experience, I learned the importance of assuring stakeholders that the change in data source will not degrade the data quality before making any significant code changes.
• By the end of the project, I was able to
• shorten the lines of code needed to execute the pipeline by 50%,
• reduce the pipeline’s run time from 7 hours to 1 hour,
• decrease disk space utilization by 90%, and
• remove reliance on legacy views.

Aug 2023 – Dec 2024 · 1 yr 4 mos · Raleigh, North Carolina, United States

• During my first year as a CS student at North Carolina State University, I worked on an independent project under the supervision of Professor Ranga Raju Vatsavai.
• The goal of the project was to determine if transfer learning can be applied to deforestation detection in satellite imagery.
• The first part of the project involves collecting raw images and then applying normalization and image augmentation, using Python packages like OpenCV and PIL. 20+ carbon trading project sites across the globe were selected to ensure diverse representation of deforested regions in 6 countries.
• The second part was training the model. I first used MobileNet-v2, a pre-trained CNN model without any modifications. Then I removed the top layers and retrained those layers, and compared the results between before and after retraining. To fine-tune the model, I tested over 50 parameter combinations.

Jun 2022 – May 2023 · 11 mos · Washington, District of Columbia, United States

• The World Bank Group is an international organization that provides low interest loans to low and middle income countries to improve people’s quality of living.
• I was the first data analyst hired in the IT Client Service Headquarters division, located in Washington D.C. The division’s main responsibility was to provide technical support to 5,000+ staff located in the US.
• In my position, I leveraged datasets generated by different IT teams to develop data visualizations and reports used to inform managerial decisions.
• For example, I found that 50%+ request tickets were associated with one configuration item, indicating overuse and lack of understanding of other configuration items. This led to a department-wide education campaign on proper ticket documentation.
• Other projects include estimating ticket rerouting impact, assessing staff learning survey results, and developing reports on IT workload for regional managers.

Oct 2021 – Jun 2022 · 8 mos · Los Angeles, California, United States · On-site

• Startup UCLA connects UCLA students and alumni and the Southern California startup community. It hosts programs like the Summer Accelerator, which provides mentorship and funding to early stage companies.
• As a Data intern, I managed the website and provided analytics support to the Executive Director.
• I was able to
• redesign call-to-action buttons, resulting in 300% increase in booked consultation calls,
• streamline data pipeline from various social media sources to the data sink, reducing overall time spent on data aggregation, and
• analyze and report quarterly co-working space usage and social media engagement.

Sep 2021 – Jun 2022 · 9 mos · Los Angeles, California, United States

• The UCLA Mobility Lab focuses on developing cutting-edge transportation technologies for smart cities. Using AI, robotics, and machine learning, the lab conducts research in vehicle automation, urban mobility analytics, and smart transportation infrastructure.
• As a Research Assistant, I:
• used pandas and ArcPy to analyze broadband coverage for 2000+ transportation analysis zones in LA County,
• helped design a survey to collect data on Los Angeles residents' telework choices for use in a multi-agent transportation simulation,
• distributed a month-long survey to collect UCLA students' mode choice preferences with hypothetical bike share system implementation, and
• developed discrete choice models to understand behavior and travel pattern changes before and after bike share implementation.

Apr 2021 – Nov 2021 · 7 mos · Remote

• The Project on Resources and Governance (PRG) is a non-profit research initiative that applies insights from the social and behavioral sciences to find effective solutions to governance problems in resource-rich countries
• As a research assistant at PRG, I
• identified artisanal and small-scale mining (ASM) sites in Central & West Africa with satellite imagery,
• participated in developing an ASM identification protocol during weekly meetings with supervisor and three research assistants, and
• webscraped Google Scholar data with Python and cleaned 3000 observations in Excel for literature review.

Sep 2020 – Jun 2021 · 9 mos

• The Sustainable LA Grand Challenge Undergraduate Research Scholars Program unites undergraduate students across all disciplines in their first research experiences in the field of urban sustainability.
• As a research scholar, I participated in interdisciplinary group work and faculty-mentored independent research.
• For independent research, I assisted with background research on the policy report 'Phasing Out Fossil Fuel Infrastructure in Los Angeles: Challenges for a Just Transition' by Andrea Furnaro and Dr. Kelly Kay from the Department of Geography. I also transcribed interviews and produced maps and charts.
• For the interdisciplinary group work, I collaborated with a team of 5 to evaluate the feasibility of installing a geothermal heat pump on campus. I conducted literature review on geothermal installation case studies at other U.S. universities and presented our findings to the cohort, the Chief Sustainability Officer, and other stakeholders from campus energy production.