Nancy Xu

Graduate Research Assistant at University of Michigan - School of Information
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area
Languages
  • Chinese Native or bilingual proficiency
  • English Native or bilingual proficiency

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Jin Pu (she/her/hers)

Nancy was one of the most outstanding interns during her time at Activism Always. She was a fast learner, self motivator, and top performer. She always brought energy to the team and was passionate about exploring NLP, Machine Learning and Full-Stack Engineering. Her work was well delivered and valuable to Activism Always. She also had adorable personality- I feel so lucky to have had her on the team!

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Experience

    • United States
    • Higher Education
    • 200 - 300 Employee
    • Graduate Research Assistant
      • Aug 2023 - Present

      Computational social science, NLP, physician-patient conversations Advised by Professors David Jurgens and Justine Zhang Computational social science, NLP, physician-patient conversations Advised by Professors David Jurgens and Justine Zhang

    • United States
    • Higher Education
    • 100 - 200 Employee
    • Undergraduate Researcher
      • Aug 2021 - Present

      Toward Computational Literature Reviews: Deep Learning and Dictionaries for Automated Analysis of Complex Texts

    • Data 100 uGSI
      • May 2022 - Dec 2022

    • Data 100 Tutor
      • Aug 2021 - May 2022

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Undergraduate Researcher
      • Sep 2021 - Present

      AskOski Project: Supporting undergraduate decision making with big data and adaptive technologies; Advised by Professor Zachary Pardos AskOski Project: Supporting undergraduate decision making with big data and adaptive technologies; Advised by Professor Zachary Pardos

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Info 159 (Natural Language Processing) TA
      • Jan 2023 - May 2023

    • NLP Undergraduate Researcher
      • Sep 2022 - May 2023

      Developing statistical methods to detect semantic changes over time

    • United States
    • Education Management
    • 1 - 100 Employee
    • Student Instructor
      • Jan 2021 - May 2023

      Technology and Social Impact (ENERES 98, CS 198, COGSCI 98) Technology and Social Impact (ENERES 98, CS 198, COGSCI 98)

    • Organization Lead
      • Jan 2021 - May 2023

    • Co-Founder, Director of Outreach
      • Sep 2019 - May 2022

      Organized partnership with nonprofit volunteer organization CoachArt to create and lead arts and crafts lessons for children with special needs. Facilitated communications between nonprofits and volunteers. Organized partnership with nonprofit volunteer organization CoachArt to create and lead arts and crafts lessons for children with special needs. Facilitated communications between nonprofits and volunteers.

    • United States
    • Software Development
    • 100 - 200 Employee
    • Data Science Intern, NLP
      • May 2021 - Aug 2021

    • United States
    • Information Technology & Services
    • 1 - 100 Employee
    • Data Science Intern
      • Feb 2021 - Aug 2021

    • United States
    • Consumer Services
    • 1 - 100 Employee
    • Data Science Intern
      • Sep 2020 - May 2021

      Mined and cleaned data to identify key metrics examining the relationship between the prevalence of malaria, healthcare resources, and land use in Northeast India. Leveraging Python and Tableau to identify and map vulnerable populations in Northeast India to help nonprofit provide needed donations. Mined and cleaned data to identify key metrics examining the relationship between the prevalence of malaria, healthcare resources, and land use in Northeast India. Leveraging Python and Tableau to identify and map vulnerable populations in Northeast India to help nonprofit provide needed donations.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Research Analyst
      • Aug 2020 - Dec 2020

      Analyzed and visualized public sentiment on evictions and its correlation with poverty rates and housing policies in neighboring cities. Web scraped on Twitter with Tweepy using identified hashtags and phrases; cleaned large dataset using regex, NLTK and BeautifulSoup libraries; and developed N-gram and sentiment analysis of tweets on evictions in Paterson, New Jersey. Established key metrics for analyzing public sentiment on COVID-induced evictions and eviction policies. Analyzed and visualized public sentiment on evictions and its correlation with poverty rates and housing policies in neighboring cities. Web scraped on Twitter with Tweepy using identified hashtags and phrases; cleaned large dataset using regex, NLTK and BeautifulSoup libraries; and developed N-gram and sentiment analysis of tweets on evictions in Paterson, New Jersey. Established key metrics for analyzing public sentiment on COVID-induced evictions and eviction policies.

Education

  • University of Michigan
    Doctor of Philosophy - PhD, Information Science/Studies
    2023 -
  • University of California, Berkeley
    Bachelor of Arts - BA, Statistics, Data Science
    2019 - 2023

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