I bring my first master’s degree in English education and 6+ years of experience as a product analyst in EdTech to my second master’s degree in data science at Duke University. My expertise in curriculum design, user analysis, product design, and balancing data privacy with business needs, combined with my growing technical skills, has fueled my interest in Human-Computer Interaction (HCI) in EdTech and explainable technology.
Driven by the technology challenges I encountered in my previous work, and by the difficulties I faced while transitioning from language education to data science, I hope to combine my work and learning experiences to research explainable technology and develop more accessible and user-friendly tools for learning advanced technologies. I am actively seeking Ph.D. opportunities for Spring & Fall 2026.
MY RESUME
Database System, AI Security and Privacy, Principles of Machine Learning, Natural Language Processing (NLP), Calculus and Probability, Statistical Modeling, Data Engineering
Master’s Research Methods (Quantitative & Qualitative)
Advanced Mathematics, Linear Algebra, Basics of Computer Engineering, Visual Basic Programming, The C Programming Language
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• Created a scalable machine learning model predicting buildings’ Energy Use Intensity (EUI) using limited satellite, climatic, and socioeconomic data.
• Improved model performance by 54% over baseline, providing a valuable tool for data-driven emissions estimation and supporting more effective emission reduction strategies.
• Conducted comprehensive literature review, obtained IRB approval, and developed a qualitative codebook for analyzing privacy and security in AI-enabled social chatbots.
• Performed quantitative power analysis and Cumulative Link Mixed Models (CLMM) to analyze data collected via Qualtrics.
• Synthesized the existing literatures to investigate the potential effects of educational technology on non-native English teachers and their teaching in ESL contexts.
• Found that educational technology provides realistic pathways to support non-native English teachers in this context.
• Critiqued quantitative and qualitative research to acquire the appropriate rationale to conduct my research.
• Conducted semi-structured interviews within Warner Education Graduate School, analyzed interview transcripts, and authored an essay on findings related to international students’ needs.
• Analyzed the book, Walden, through the lens of transcendentalism and illustrated the author’s call for returning to nature and simplicity.
2023 Duke x OpenAI x Microsoft Hackathon Winner (Beginner Track). TalkwithMe applies Azure Text-to-Speech, Pronunciation Assessment API, creating user with customized immersive language learning experience, via AI voice generation, recognition, and study methods recommendation.
Identifying the gap between K-12 technology talent and recrtitment pipeline.
Microsoft Imagine Cup, a global technology competition that celebrates the perseverance, grit and brilliance of students who are building startups with AI at their core. My AI companion robot BunnyBot is selected to be one of the Top 20 semifinal-list worldwide.
• Leveraged Python to create and manage sales ROI dashboards, incorporating key statistics and trending analysis, which led to a 3.3% reduction in customer issues and a 2.8% increase in GMV growth.
• Coordinated and collaborated with other departments, such as engineering and marketing, to lead product training for the sales team.
• Successfully implemented the new Shared Services Platform (0-1-N), resulting in a 60% increase in collaboration efficiency.
• Identified product problems using data analyzing and collaborated with the Scrum product manager and engineers to complete the iteration while supporting backend engineers in creating and managing the API interface document description.
• Successfully lead a new WeChat Mini Program learning product (0-1-N), resulting in a 100% increase in profitability, and monitored the acquisition, retention rate, and conversion rate which grew 26% month-on-month.
• Completed in-depth analyses for all Chinese online education brands and participated in a SEO-specialized market promotion strategy which resulted in an over 85% repurchase rate for the sales team.
• Spearheaded new customer channel developments and negotiations and had exclusive translation collaboration with the Jiangsu Grand Theatre.
• Established and managed a 4-person team to cover product frontend, backend, and testing activities to meet the estimated goal, and broke even for 6 months prior to the pandemic.
• Successfully collaborated with a 7-person team to release the product with 50,000+ registered users.
• Collected, compiled, and translated product data into easily digestible reports, and coordinated with the team manager to wrangle and analyze the data through SQL and Python.
• Assisted in developing product metrics to help increase user satisfaction and productivity metrics over target.
• Supervised the progress of 2–6-year-old students with their spoken Chinese.
• Designed and implemented the Adult Survival English program, combining various English teaching methods and techniques, to assist new ESL students, resulting in a 100% retention rate and a 20% increase in test scores.
This tutorial will explore a step-by-step approach to deploying a Python-based Flask web application to Azure Web App using Docker Hub. I will guide you through each phase of the project: from the initial development of the recommendation logic in Python to creating the Flask framework, packaging our application into a Docker image, and finally deploying it to Azure.
Creating an effective Python command-line tool to manage an e-commerce product catalog with Azure Cosmos DB can streamline operations significantly. This tutorial will guide you through creating a Python command-line tool that interfaces with Azure Cosmos DB to manage an e-commerce product catalog. The tool simplifies CRUD operations, making it accessible for non-technical staff to maintain up-to-date product listings.
The following narrative is more than a tutorial; it’s a roadmap for such a retail giant. By embracing Azure Blob Storage and Azure Databricks, the company is about to embark on a transformative journey that will not only store its colossal datasets but also breathe life into them, extracting trends, forecasts, and segments that are crucial for thriving in a competitive market.
