Chenqi Wu Email & Phone Number

• Data Wrangling: Utilized Beautiful Soup in Python, regular expressions, and custom parsing functions to scrape and extract specific PCR protocol data from Bioarticals.
• Data Cleaning: Transformed and structured the extracted data for subsequent processing, enabled efficient storage and integration, optimized post-processed Data for AI model input and downstream applications.
• AI Model Development: Developed a GPT-4 based model by fine-tuning it on the pre-processed PCR protocol data, monitored model performance by evaluating key metrics such as accuracy and coherence to ensure high-quality.

• Data Processing: Collected daily stock prices from NASDAQ and AMEX, filtered top-performing stocks based on market capitalization, and calculated percentage returns over short, mid, and long-term periods.
• Text Mining: Crawled articles from Reuters for each stock, focusing on headlines and initial sentences using Beautiful Soup in Python; pre-processed text by removing unwanted characters, punctuation, and redundant.
• Deep Learning: Developed and fine-tuned multiple deep learning models, including a Convolutional Neural Network and Bidirectional LSTM, for multi-class text classification to predict stock price movements.
• Model Optimization: Enhanced model performance through hyperparameter tuning by adjusting learning rate, batch size, LSTM units, and dropout rates using Grid Search and Bayesian Optimization, achieving substantial.

Cambridge, Massachusetts, United States

• Market Risk Analysis: Conducted a comprehensive analysis of market risk in the Philippines and Singapore stock markets from 2002 to 2022, examining political changes, and macroeconomic factors (interest rates, crude.
• Back-Testing: Executed back-testing of a linear regression model for risk analysis, using historical market data to validate its predictive accuracy against actual market conditions; performed scenario analysis under.
• Investment Analysis: Collaborated cross-functionally to perform SWOT and competitor analyses on an investee company undergoing M&A, providing strategic insights into the investment's potential value.

Shenzhen, Guangdong

Developed strategies for investing in the real estate market in Shenzhen, including industry research. Calculated risk exposures and other dynamic indexes by building and developing the measurement table in excel. Conducted market research, screened investment projects and proposed business partners.

Master Of Science - Ms, Mathematical Finance & Financial Technology

Bachelor'S Degree, Finance, 3.66

Honors & Awards: President’s List, Fall 2018; Dean’s list, Fall 2020, Cum Laude Distinction, Fall 2021 Selected Course: Portfolio.