Hengyuan (David) Liu

Hi! Welcome to Hengyuan(David)'s website! đź‘‹

About me

I am pursuing a Master's in Applied Statistics and Data Science at the University of California, Los Angeles. I'm passionate about theory, inference, and applying Statistics to real-world problems. UCLA Statistics & Data Science Profile


Video Example

Video of the Class of 2023 Graduation Ceremony at UC Davis, Congratulations!!!

Education

      University of California, Los Angeles
      Master's Degree, Applied Statistics and Data Science
      Expected: Dec. 2024

      University of California, Davis
      Bachelor's Degree, Statistics
      Jun. 2023


Skills

R, Python, Excel, SQL, SAS, C++, LaTeX, HTML, CSS, Office 365


Toolkit

R Studio, Visual Studio, Jupyter Notebook, Tableau, SAS Studio, MySQL workbench, AWS Database Overleaf, Excel, Office 365


Selected Works-UCLA

1. Moment Generating Functions for Univariate and Multivariate Distributions and Their Use in Distribution Theory

FEB. 2024 - MAR. 2024

Read more about this project (open in new window)

 

2. Analysis of Ten Minutes of Trauma Sence Time Presentation

Nov. 2023 - Dec. 2023

Read more about this project PowerPoint (open in new window)

Read more about this project R code in HTML (open in new window)

 

The Video Presentation of Analysis of Ten Minutes of Trauma Sence Time

 

3. Model Selection and Validation Project

Sep. 2023 - Oct. 2023

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Selected Works-UCD

1. Multivariate Regression in Diabetes Data Analysis

April. 2023 - May. 2023

Read more about this project (open in new window)

 

2. Analysis of Shot Marilyns by Andy Warhol

Read more about this project (open in new window)

Mar. 2023 - May. 2023

 

3. Analysis of factors associated with Heart Disease / Stroke

Read more about this project (open in new window)

Feb. 2023 - Mar. 2023

 

4. 2022 - 2023 H5N1 Bird Flu Modeling and Prediction in the United States

Read more about this project (open in new window)

Jan. 2023 - Mar. 2023

  • This is a project for the International Association of Statistical Computing (IASC) Data Analysis Competition 2023.
  • Worked with two students from UC Davis, Weilin Cheng, and Kathy Mo, and two students from UMich, Sida Tian and Li Yuan.
  • Built and compared statistical models that predict which county in the upcoming month will have H5N1 case(s).
  • The prediction accuracy of the model is 98.4% with AUC 0.8015.
  • Provided some suggestions including collecting more related data such as egg production and breeding size to improve the model.
  • Proposed some advice on how to control the spread of the H5N1 virus.
  • The team won 2nd place and a travel grant for attending the World Statistics Conference (WSC) 2023 organized by the International Statistical Institute.
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    5. Movie Rating Predictions Based on Reviews

    Read more about this project (open in new window)

    Feb. 2023 - Mar. 2023

  • This is the final project for the Advanced Statistical Computing class at UC Davis.
  • Worked with four UC Davis students: Josh Balingit, Luc Chen, Kathy Mo, and Ka Wai Sit.
  • Created different machine learning models from the IMDB Kaggle dataset and compared them.
  • Evaluated which algorithms most effectively predict whether a movie receives a positive rating or not.
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    6. California 2022 Proposition 30 Feasibility Report and Recommendations

    Read more about this project (open in new window)

    Oct. 2022 - Nov. 2022

  • This is a project for the CA 2022 Election Data Challenge hosted by UC Davis.
  • Worked with two students from UC Davis, Weilin Cheng and Henyuan Liu, and one student from UMich, Li Yuan.
  • Figured out the relationship between multiple factors and Greenhouse Gas emission by light-duty vehicles in California.
  • Found out the relationship between fire control funding and Greenhouse Gas emitted by wildfire.
  • Concluded that only performing Proposition 30 is not enough to reach California’s carbon emission goal.
  • Suggested focusing more on carbon emitted by trucks, cargo ships, industrial pollution, air conditioners, public transportation, planes, etc.
  • The team won the nomination prize.
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    7. Top 1000 and Bottom 1000 Movie User Score and Gross Income Data Analysis

    Read more about this project (open in new window)

    Nov. 2022 - Dec. 2022

  • This is the final project for the Statistical Data Technologies class at UC Davis.
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    8. Time Series Analysis of Annual Temperature Anomalies

    Read more about this project (open in new window)

    Nov. 2022 - Dec. 2022

  • This is the final project for the Applied Time Series Analysis class at UC Davis.
  • Worked with two students from UC Davis, Weilin Cheng and Hengyuan Liu.
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    Work Experience

    1. Reader (Part-Time)

    JAN. 2024 - MAR. 2024

  • Future work experience to be placed here.
  • Facilitated learning and provided detailed feedback on weekly assignments in STATS 20 boosting students' statistical concepts, data analysis, and R programming techniques.
  • Collaborated with the teaching team to develop effective teaching strategies, ensuring a comprehensive learning experience
  • 2. Food Service Worker (Part-Time)

    Feast at Rieber Official Website

    OCT. 2023 - DEC. 2023

  • Corresponded to a high-volume dining facility by efficiently handling daily meal services and ensuring a seamless dining experience.
  • Coordinated food station setup, replenishment, and cleanup, optimizing mealtime operations and maintaining a well-organized inventory
  • Helped ensure adequate supplies of cutlery, maintaining a well-stocked and organized inventory to meet the needs of diners.
  • Managed beverage machines for functionality and cleanliness, and aided in trash collection for a clean dining environment.
  • Adapted to fast-paced and high-pressure situations, maintaining composure and professionalism during peak dining hour.
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    2. Coming Soon

    Month. Year - Month. Year

  • Future work experience to be placed here.
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    Honors and Awards

    Item Date
    Second Place of the International Association of Statistical Computing Data Analysis Competition (open in new window)       March 2023
    Dean’s Honor List for Fall Quarter 2022 at UC Davis       January 2023
    Honorable Mention CA Election 2022 Data Challenge       November 2022

    Certifications

    Item Date
    Introduction to Front-End Development       Aug. 24, 2023
    Tableau Essential Training Aug. 11, 2023
    Python Data Structures and Algorithms Aug. 4, 2023
    SQL for Data Analysis       Dec. 23, 2022
    Python for Time Series Data Analysis       Sep. 15, 2022

    Contact Information