Data Science Machine Learning

Qing Wang

510-***-**** ****.****@********.*** www.linkedin.com/in/qingwangkira STEM-OPT eligible EDUCATION

University of California, Berkeley - Haas School of Business Expected March 2025 Master of Financial Engineering Berkeley, CA

Coursework: Financial Data Science, Statistics, Risk Management, Investments and Derivatives, Equity Markets, Fixed Income, Asset-backed Securities

Shanghai University of Finance and Economics November 2023 Master of Finance and Financial Engineering Shanghai, China Terminated willingly because of degree conflicts with Berkeley MFE

Coursework: Investment, Corporate Finance, Financial Statements, International Markets, Merger and Acquisition, Financial Institutions

Huazhong University of Science and Technology June 2022 Bachelor of Computer Science and Technology Wuhan, China

Achievement: Finalist in the Mathematical Modeling Contest / Interdisciplinary Contest in Modeling

Coursework: Big Data, Artificial Intelligence, Machine Learning, Algorithm Design, Database System, Data Structure, Numerical Analysis

SKILLS & CERTIFICATIONS

Programming: Python, C++, C, SQL

Languages: Chinese, English, Spanish

Certifications: Passed CFA Level 3, Passed FRM Level 2, LVMH Insider INTERNSHIP EXPERIENCE

Global Key Advisors San Francisco, US

Research Intern October 2024 - January 2025

Conduct statistical analysis on a private dataset related to insiders’ and funders’ stock trading and find out insiders’ trading behavior contributes more to active returns than other variables.

Work on clean tech startup data of 283 due diligence questions and use statistical methods to screen for the most predictive questions regarding its survival.

Collect funding data on startups from Crunchbase and integrate it into the database. Ping An Asset Management Shanghai, China

Quantitative Investment Intern November 2023 - January 2024

Performed due diligence on Fund of Funds products and dug potential investment targets for hedge funds based on growth potential and inherent risks with qualitative analysis.

Wrote Python codes to do performance attribution based on historical price and factor data to establish quantitative evaluation metrics.

Attended due diligence meetings and client calls to gather recent market trends and keep informed of clients’ requirements; offered advice on balancing portfolios to satisfy clients’ new needs. Deloitte Shanghai, China

Modeling Intern May 2023 - August 2023

Constructed a Convertible Bond Model to predict bond conversion probability with the input of macro and corporate data; solved data imbalance issues by creating new samples for the dataset.

Used random forest model to predict risks at industry stock level and implemented risk-parity weighting in the final portfolio allocation; did stress testing on portfolios and made evaluations based on VaR.

Automated the process of extracting trading margin data from Wind with Python and SQL; organized data into reports and sent them to clients with subscriptions. Chinese International Capital Corporation Shanghai, China Quantitative Research Intern December 2022 - March 2023

Extracted industry summary data from a messy corporate database with Python and SQL; solved data issues regarding missing values and frequency inconsistency by experimenting with various statistical methods, including moving average methods and modeling.

Screened effective industry indicators based on a statistical analysis of correlation and causality; used Dynamic Time Warping to measure similarity between time series data to corroborate previous conclusions.

RESEARCH EXPERIENCE

Best Function Robot Wuhan, CHINA

Modeling Team Leader October 2019 - May 2021

Designed reward function and model architecture for a single robot’s decision-making logic with a deep reinforcement learning network.

Iteratively tuned model parameters during pre-training 2D simulations.

Adapted the model to a multi-agent scenario by modeling mutual interactions and trained robots in a 3D environment.

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