Education

• B.S. in Computer Science and Statistics, University of Washington, December 2024 (expected)

Work Experience

• Data Mining Intern, China Construction Bank Corporation
  • Optimized machine learning models for predicting Indian Car Loans Overdue.
  • Analyzed data and did feature engineering to fit the models (size: ~233k) in Python.
  • Optimized and improved the accuracy of logistic regression, random forest, SVM, and XGBoost models, and reached an accuracy of 78% for the XGBoost model.

Project Experience

• Open Space Navigation - Accessibility Technology Research
  • Developing an Android application to assist visually impaired individuals in navigating open spaces.
  • Implemented functions including recording paths by coordinates, and navigating the user using the Douglas−Peucker algorithm. Integrated Google Maps and Google Play APIs into the app to enable accurate GPS recognition.
  • Improved user experience with Accessibility features, including providing different types of navigation output (text, speech, vibration), and sorting paths dynamically according to user’s current location.
  • Enhanced the app’s functionality by testing with Plane-Sweep Algorithm on GPS accuracy in different Android devices.
• Low Resource Environmental Monitoring With Machine Learning, UW ICTD Lab
  • Investigated how to utilize roughly time-aligned multimodal environmental monitoring data (visual, audio, audio-visual, etc.) for fine-grained species classification, and to learn informative metrics for ecological analysis.
  • Experimented with audioset augmentation by blending with other background noises, and co-training on the joint classification and object localization objectives to compute attention maps between audio and visual representations.
• ALRITE Customization - Android Application (Group)
  • Modified the Ugandan healthcare Android application ALRITE to parse and display workflows specified in JSON.
  • Implemented a user-friendly workflow editor for non-technical users to create and modify workflows.
  • Developed a Django backend database to store JSON workflow files and dynamically build patient information based on collected data.
• UW Center for Education Data & Research
  • Analyzed nationwide school district job shortage dynamics and teacher employment trends based on job postings throughout the COVID-19 pandemic in Python.
  • Web-scraped XPATH and extracted text from the school district and job posting websites. Collected and systemized ~70k school-related job posting information in 4 states.

Skills

Java, Python, C, C++, SQL, R, HTML, CSS, JavaScript

Teaching

• CSE 440 - Introduction to Human-Computer Intersection (Autumn 2023 TA)

Related Courses

• CSE 421 - Introduction to Algorithms
• CSE 446 - Machine Learning
• CSE 482 - Capstone Software Design To Empower Underserved Populations
• CSE 484 - Computer Security
• CSE 440 - Introduction To HCI: User Interface Design, Prototyping, And Evaluation
• CSE 333 - Systems Programming
• CSE 332 - Data Structures And Parallelism
• STAT 340-342 - Introduction To Probability And Mathematical Statistics I, II, III
• MATH 300 - Introduction to Mathematical Reasoning
• MATH 224 - Advanced Multivariable Calculus

Leadership

• President of Statistics and Probability Association