Yi Lu Email & Phone Number

Hong Kong Sar

• Utilize the Python libraries like QIib, TensorFlow and PyTorch to preprocess and store the high dimensional financial data.• Implemented Deep Reinforcement Learning techniques like proximal policy optimization and recurrent neural networks to mine the combinations of alpha factors in the China A market.• Employed multiple machine learning algorithms, including CNNs, LSTM, and ARIMA to capture complex patterns in the China A market.• Developed trading strategies by integrating various technical indicators, such as prices oscillators and fractal adaptive moving average on different indices.• Developed the alpha models in a live trading environment, continuously monitoring the out-of-sample performance and improving the risk-adjusted return.

Shanghai, China

1.Built linear regression and random forest models in Python for predicting real estate bond prices, incorporating factors such as trade price, current coupon, and time to maturity, in order to predict future period bond price - model achieved a RMSE of ~0.072.Utilized SQL to efficiently retrieve, analyze, and manage datasets exceeding 10+ million records, streamlining data workflows, reducing manual processing time by 6x, and improving data-driven decision-making processes3.Developed innovative credit risk models in Python, including logistic regression, random forest, and the Merton structural model, improving real estate bond valuations and enhancing risk assessment accuracy by 15%

Seattle, Washington, United States

• Selected participant to be mentored in professional development, networking, and best practices in industry at Amazon• Explored the career development, organization structure and dynamic and developed understanding in different roles

· Assist on occasional researches around two during the assistant period and data entry with 100% correct rate· Assist to prepare programs for program manger(s) and maintenance and edit program materials· Built key reports for the executive team, such as the annual spending, revenue, gross margin, price-margin ratio, and ROI· Created a stat model with 95% confidence and make the prediction to next 5 years·Interviewed clients and collect their requests and questions and report to the manager, resulting in satisfactory rateof 98%· Answered phones, email, and chat to assist students and staff with immediate, lower-tier problems

Master'S Degree, Quantitative Economics

Bachelor Of Science - Bs, Economics, Statistics, 3.8