Undergraduate Researcher

• Sep 2022 - Present

• Conducting research on natural language processing (NLP) and education: supporting how teachers teach and how students learn. • Co-first authored "SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts". Paper accepted into the proceedings of Innovative Use of NLP in Building Educational Applications (BEA) 2023. • See more projects and publications below.

Summer Research Fellow

• Mar 2022 - Sep 2022

• Selected as 1 of 25 CURIS fellows in Stanford’s Computer Science Summer Research program for undergraduates. • Conducted research on pragmatic language learning.

Team Lead

• Sep 2023 - Present

Consulting Strategist

• Oct 2022 - Oct 2023

• Conducted competitive analyses and recommended targeted advertising, branding, and product marketing strategies to boost customer acquisition, engagement, and retention for 2 California-based clients.

Software Engineer

• Jun 2023 - Sep 2023

• Developed hotel price calculation APIs, interactive visualization webpages, and Chrome extension tools that all employees can use to experiment with real-time pricing of 2M+ hotels on Agoda’s travel booking platform. • Developed hotel price calculation APIs, interactive visualization webpages, and Chrome extension tools that all employees can use to experiment with real-time pricing of 2M+ hotels on Agoda’s travel booking platform.

Software Developer

• May 2021 - Jun 2021

• Developed a home monitoring system by utilizing object detection, motion tracking, and audio signal processing. • Developed a home monitoring system by utilizing object detection, motion tracking, and audio signal processing.

Data Scientist

• Nov 2020 - Apr 2021

• Initiated the clustering of 10K+ convenience store branches based on 40M+ customers' purchase trends, which supported the business team in optimizing product assortment. • Engineered features from economic time series data, which improved accuracy of daily sales forecast. • Analyzed product-based shopping trends to support the development of a new in-store product recommendation system. • Initiated the clustering of 10K+ convenience store branches based on 40M+ customers' purchase trends, which supported the business team in optimizing product assortment. • Engineered features from economic time series data, which improved accuracy of daily sales forecast. • Analyzed product-based shopping trends to support the development of a new in-store product recommendation system.

Data Engineer and Data Analyst

• Aug 2020 - Oct 2020

• Crafted and presented 10+ reports with analyses of e-commerce sales trends, customer segments and needs, performance of online content and campaigns, and search trends to provide marketing strategy recommendations for 5 companies, including Thailand’s largest fast-moving consumer goods and financial companies. • Extracted, transformed, and loaded (ETL) daily convenience store sales to Google Cloud Platform, which allowed 50+ team members to easily utilize the data. • Crafted and presented 10+ reports with analyses of e-commerce sales trends, customer segments and needs, performance of online content and campaigns, and search trends to provide marketing strategy recommendations for 5 companies, including Thailand’s largest fast-moving consumer goods and financial companies. • Extracted, transformed, and loaded (ETL) daily convenience store sales to Google Cloud Platform, which allowed 50+ team members to easily utilize the data.