CV

Get PDF

Education

• B.S. in Data Science (B.S.), University of California - San Diego, 2023 (expected)
  • Provost Honors (six terms) – Unweighted GPA 3.88 / 4.00
  • Relevant Courses: Intro to Machine Learning, Probability and Statistical Methods, Data Analytics, Data Structures and Algorithms in Java and Python, Recommender System, Deep Learning, Big Data Platforms, Multivariable Calculus, Linear Algebra
    
    

Technical Skills

• Programming Lanugages:
  • Proficient: Python, Java, SQL
  • Familiar: R, Stata, C, Go, JavaScript, HTML / CSS
• Data Science:
  • PyTorch, Pandas, SciKit-Learn, RegEx, Numpy, BeautifulSoup, GeoPandas
    
    

Work Experience

Data Engineer Intern, Intel Corp.

Oct 2022 – Current

• Partners with Information Security Analysts and Software Developers to help configure, manage, secure and integrate data platforms and applications to support Intel’s business needs.
• Enables application development and data integration/management as a member of a highly collaborative Agile DevOps delivery team.

Research Intern, Hippo T&C

July 2022 – Current

• Cleans and analyzes over 250 individuals’ fNIRS time-series neuroimage data to study how depression patients’ brains react to everyday tasks, as well as develop digital therapeutics, in partnership with Samsung Medical Center.
• Builds linear ML models to cluster fNIRS images into depression and control group – collaborating with researchers with medical education background while contributing computer and statistics expertise to the research group.

Software Engineer, Homehub

Jun 2021 – Mar 2022

• Initiated and led a Python API development project from scratch – enabled automatic email notifications to be sent between customers and developers; thereby allowed developers to stay alert to frontend and backend errors.
• Leveraged Boto3 and CRON to automatically back up AWS EC2 database to S3 for a startup company.
• Create and review design documents and unit tests in meetings with designers, engineers, and data scientists.

Data Science Intern, CUNA Mutual Group

Jun 2021 – Aug 2021

• Worked with SQL, Azure Snowflake, and R to join and process data tables of over 70 million consumers.
• Trained and calibrated XGBoost machine learning models on financial and business data; identified potential customers and their expected lifetime contribution to the company’s revenue.
• Eliminated 87.5% of manual labor by identifying ineffective ML input variables – performed Logistic Regression and built and scored models using model metrics such as AUC scores and Enrichment Factors.
• Uncovered and presented areas of need to over 20 business stakeholders, which led to further investigations.

Lab Research Intern, Qualcomm Institute

Nov 2020 – Mar 2021

• Organized data for a research paper that proposes a novel highway physics formula – collaborated with a research scientist and data scientists to discuss how data science can help add veracity to the research paper.
• Prepared data for Artificial Neural Network by cleaning traffic signals from over 39,000 detectors on highways – picked up applicable traffic domain expertise within weeks, ensuring data integrity.

Data Data Visualizer, Guardian at UCSD

Oct 2019 – Jun 2020

• Communicated with editors and other data visualizers to generate visualizations for campus and international articles.
• Employed Python, RegEx, and Tableau to process, analyze, and visualize structured and unstructured data.
• Analyzed 250+ text responses via RegEx to identify where students experience internet connection issues on campus.
  
  

Teaching

Data Science Tutor, UCSD

Oct 2021 – Mar 2022

• Guided 150+ students and explained concepts of graph theory, continuous/ discrete algorithms, and data structures in weekly office hours.
• Assisted the professor with creating and grading weekly assignment questions, maintaining course website, and facilitating exams.
• Interacted with students from 10+ different countries; developed listening-centric communication skills that encourage students to independently acquire knowledge.