Kathy Mo
Last update: June 24, 2024
Hi! Welcome to my personal website! đź‘‹
About me
Gender: Female
Major: Statistics in the Data Science track
Current GPA: 3.92
Skills
R, Python, SQL, SAS, Excel, LaTeX, HTML, Office 365
Work Experience
1. Actuarial Analyst Intern at WTW (Willis Towers Watson)
May 2023 - August 2023
Created data analysis reports from client data.
Completed analysis and reconciliation of plan participant data and plan assets.
Presented regular updates, process reviews, and project presentations to senior staff members.
2. Data Science Intern at Adzviser
Jun. 2024 - Present
Future work experience to be placed here.
Selected Works
1. 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 Henyuan Liu, and two students from UMich, Sida Tian and Li Yuan.
Built and compared statistical models which predicts 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 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.
2. 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, Hengyuan Liu, and Ka Wai Sit.
Created different machine learning models from the IMDB Kaggle dataset and compared them.
Evaluated which algorithms most effectively predicts whether a movie receives a positive rating or not.
3. 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 among 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 to focus more on carbon emitted by trucks, cargo ships, industrial pollution, air conditioners, public transportation, planes, etc.
The team won the nomination prize.
5. 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.
Honors and Awards
| Item |
Date |
| Dean’s Honor List for Winter Quarter 2024 at UC Davis |
April 2024 |
| Second Place of the International Association of Statistical Computing Data Analysis Competition |
March 2023 |
| Dean’s Honor List for Fall Quarter 2022 at UC Davis |
January 2023 |
| Honorable Mention CA Election 2022 Data Challenge |
November 2022 |
| Edward Frank Kraft Prize |
2020 - 2021 |
| Best UI/UX Design from Lovelace Hacks |
April 2021 |
| Dean’s Honor List for Winter Quarter 2021 at UC Davis |
April 2021 |
| Dean’s Honor List for Fall Quarter 2020 at UC Davis |
January 2021 |
