Detail-oriented and analytical Data Analyst with a proven track record of extracting valuable insights from complex datasets. Strong problem-
solving skills with advanced techniques and adept at communicating complex findings in a clear and actionable manner
Overview
2024
2024
years of professional experience
4
4
years of post-secondary education
Work History
Data Analyst Intern
AI Homework Maopan Inc Remote
1 1 - Current
Performed data analysis in SQL of AI Homework’s user experience and came up with data-driven solutions for optimization
and modification, which resulted in a newer version of the application
Intern
Asia Innovations Group, AIG
Beijing
09.2021 - 12.2021
Conducted A/B test to evaluate the impact of introducing a new feature to one of its apps on its monthly revenue
Built auto-refreshed Tableau dashboards to track the key performance indicators of AIG’s live social products
Collaborated with senior data scientists to develop and fine-tune a time series machine learning model used for predicting
the future revenue growth of a newly introduced app
Performed deep dive analysis in SQL of products’ user experience and came up with a solution for product optimization,
which resulted in increasing the users’ satisfaction rate by 60%
Intern
Guotai Jun An Securities Co., Ltd
Shanghai
07.2021 - 08.2021
Applied regression analysis and Monte Carlo simulations to predict stock prices and market trends
Created visualizations and reports using Python to communicate insights and make informed recommendations to
investors
Intern
ICBC Financial Leasing Co., Ltd
Beijing
07.2020 - 08.2020
Optimized and automated the client information entry, ship mortgage file collection, and client loan clearance process by
designing and coding a Python script decreasing operational overhead by 30%
Collaborated with cross-functional teams across Research, Risk, and Engineering on collecting, cleaning, and
preprocessing raw data for analysis using Python packages including pandas, numpy and scikit-learn
Conducted exploratory data analysis (EDA) in Python on over 5 GB datasets of pre-IPO companies in the live streaming
industry to identify key metrics used for evaluation, and to drive investment business
Presented and communicated findings and insights to stakeholders by employing data visualization tools such as Tableau
and telling data-driven stories.
Hotel Price Optimization and Customer
Berkeley, Irvine, CA
1 1 - 1 1
Analyzing the Hotel Booking Dataset, Built multiple machine learning models including decision trees, clustering, random forest and linear regression and
identified the optimal model with the best pricing precision in dynamic hotel price setting for targeted customer market
Math 10, Introduction for Programming in Data Science, Analyzing the 2020 Summer Olympics Dataset using Python February -March 2022
Used Pandas, and Altair to analyze the distribution of athletes, medals, and coaches of the game and visualize the results in
the format of various charts
Performed regression analysis by utilizing the scikit-learn library to explore the correlation between different variables