CV

Education

M.S. in Business Analytics (STEM-Designated), GPA: 4.00/4.00, 08/2019 - 12/2020

Relevant Coursework: Big Data, Python and Applications to Business Analytics, Marketing Analytics, Applied Econometrics with R, Health Care Analytics and Data Mining, Information Visualization

B.S. in Financial Engineering, Sichuan University, GPA: 3.65/4.00, 09/2014 - 06/2018

Relevant Coursework: C#, Probabilities, Linear Algebra, Calculus, Statistics, Econometrics, Corporate Finance, Accounting, Macroeconomics, Microeconomics, Finance and Banking
Honors: Excellent Student (2016), First-class Scholarship (2016, 2015), Outstanding Trainee in Military Training of Sichuan University (4th out of 190)

Data Analyst Full time Intern, Quantitative Strategy Research Department 07/2018 - 12/2018

Explored quantitative investment strategies which could bring high rate of return in Backtest, attracted 400+ more buyers, increased $60,000+ revenues
Managed cleaning and maintenance of stock data, significantly enhancing its efficiency by 1/10
Applied Python to crawl 5000+ articles from Zhihu and Wechat subscriptions; removed ads and low-quality articles and posted improved ones in company’s community, boosting productivity by 10% and increasing flows 100000+

Data Analyst Summer Intern, Private Banking Department 07/2017 - 09/2017

Obtained 1000+ pieces of sold financial products data from bank’s database; categorized and cleansed data using Excel, improving data accuracy by 10%
Utilized Python and Excel to analyze data, wrote a 5-page report to provide suggestions on modifying financial products which attracted 20+ customers, augmenting product sales by 25%

Python: Numpy,Pandas, Scikitlearn, Matplotlib, Seaborn, TA, Pyspark
R: Tidyverse, Data Table, ggplot2
SQL: Basics, Joins, Aggregate Functions, Subquery, Window Functions
Git: Versional Control, Collaborative Programming
Tableau: Interactive Dashboards, Informational Visualizations;
Statistics: Analytics, Forecasting, Statistical modeling;
Machine Learning:(Supervised) Xgboost, KNN, Logistics regression, Lasso, Decision Trees, Random Forests, Naive Bayes; (Unsupervised) PCA, K means clustering, HMM
Cloud Computing: AWS

Volunteer
- Helped the local charity house clean up homeless children’s clothes; performed for those children; cooked a meal for them
- Sorted out the new-coming books; Classified the returned books in library
Math Tutor
- Helped students with calculus homework and tests; Helped professor grade the math homework and held workshops to improve students’ math abilities
Leading Singer
- Performed at many sorts of parties in different colleges; Participated in several school-rock-band concerts