Muying Wang

Muying Wang

Quant Researcher Intern
United States of America

About Me

Muying Wang is a Statistics graduate student at Columbia University with a Bachelor of Science in Statistics from The Chinese University of Hong Kong, Shenzhen. She has experience in quantitative research, data analysis,…

Experience

Quant Researcher Intern, Algorithm Investment Solution Team

Magnum Research Limited (AQUMON), Shenzhen, CN
Jul 2022 - Oct 2022 · 3 months

Implemented odd lot PNL calculation and attribution in Python.
Flexibly modified codes as the position changed.
Improved PNL calculation efficiency by 70%.
Fetched financial data from database using SQL.
Pre-processed stock data for strategy backtests using pandas.
Visualized backtest results.
Analyzed quarterly performance to develop a profitable trading strategy.
Extracted raw A-shares data for the last ten years from company database by collaborating with infrastructure team.
Loaded the updated data into remote server.
Enhanced the data quality by roughly 50%.

Undergraduate Research Assistant, Advisor: Prof. Sungkwan Lee

The Chinese University of Hong Kong, Shenzhen, Shenzhen, CN
Jun 2021 - Aug 2021 · 2 months

Prepared data with Python for the investigation on how social rights movements affected corporates’ online recruitment process.
Crawled over 1M job postings over 5000 listed companies from Glassdoor with Python package Beautiful Soup.
Unified the format of company names by fuzzy matching candidates’ resume data into official names of listed companies with Jellyfish.
Parsed and formatted non-English string dates into English with Pandas.

Skills

Data Evaluation Python SQL Database Data Cleansing Data Model Data Science Data Representation Neural Networks R Programming Language Machine Learning Statistical Analysis Data Analysis and Reporting Data Analytics Pandas NumPy Scikit-Learn PyTorch SQL MATLAB Excel PowerPoint Power BI Tableau Data analysis Data visualization Model building Statistical analysis Time Series analysis Web crawling Machine learning Deep learning Natural Language Processing Logistic Regression SVM Random Forest XGBoost BERT GPT CNN EDA Feature engineering Cross-validation Hyperparameter tuning Beautiful Soup Fuzzy matching Decision tree Sentiment analysis Multiple linear regression Gradient boosting Log transformation Weighted Least Squares Ridge regularization Lasso regularization
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