SUE (SHUDAN) DENG

ady9uh@r.postjobfree.com 314-***-**** Saint Louis, MO LinkedIn: linkedin.com/in/shudan-deng-sue EDUCATION

Washington University in St Louis, Olin Business School St. Louis, MO, United States Master of Science in Business Analytics – Fintech Dec 2023

• Coursework: Machine Learning, Deep Learning, Big Data and Cloud Computing, Database Systems, A/B Testing University of International Business and Economics, Statistical School Beijing, China Bachelor of Economics in Financial Mathematics. Minor: Financial Engineering June 2022

• Coursework: Mathematical Analysis, Differential Equations, Stochastic Processes, Probability Theory, Data Mining PROFESSIONAL SKILLS

• Languages: Python, C/C++, R, SQL, Matlab, SAS, STATA

• Tools: Linux, PyTorch, TensorFlow, MapReduce, Spark, AWS, GCP, NLTK, Impala, Hue, Blockchain, Tableau, Power BI, LaTeX EXPERIENCE

King of the Curve - Product Team St. Louis, MO, United States Product Analyst Intern June 2023 - August 2023

• Developed a large-scale recommendation system by combining collaborative and content-based filtering on a million-level clickstream database to suggest specific MCAT exam questions, resulting in 5% boost in exam accuracy on 600 sample users.

• Improved 12% on user retention by projecting user churn with a SVM-based sentiment classifier, identifying high-risk users, and enabling targeted interventions and personalized recommendations. Analyzed user behavior patterns with SQL to uncover correlations.

• Conducted user feedback analysis through surveys and interviews. Employed topic modeling and sentiment analysis to identify recurring themes and pain points.

China International Capital Co., Ltd - Equities Department Beijing, China Market Data Analyst Intern April 2022 - July 2022

• Formulated a Beijing Stock Exchange (BSE) Index to provide daily insights to inform trading decisions in new market with gathered data of 200+ stocks from Wind.

• Contributed to a monthly return average of 24% by predicting stock price trends with LSTM and ARIMA. Authored weekly reports show- casing market dynamics, risks, and trends to provide investment opportunities.

• Employed VaR technology to measure yield risk of BSE Index. Utilized eGARCH model for precise risk measurement. Three Gorges Xintai Investment Fund Management Co., Ltd. - Equity Investment Team Beijing, China Investment Data Analyst Intern August 2021 - March 2022

• Recommended a $60mm investment proposal by delivering an 80-page analysis report to facilitate strategic decision-making in lithium battery equipment industry, by developing financial models to assess pertinent indicators such as WACC and IRR.

• Conducted due diligence on 5+ target companies, analyzed financing and debt structures, challenged valuation model assumptions, and performed exit analysis and sensitivity analysis.

China ChengXin Green Finance Co., Ltd - ESG Rating Team Beijing, China ESG Data Analyst Intern February 2021 - June 2021

• Performed feature selection for ESG rating model with LASSO and Random Forest. Identified and filtered out over 100 insignificant features, prioritizing top 5 contributors to financial distress in each industry to enable creation of actionable red flags.

• Obtained and cleaned ESG and financial data of 200+ bond defaulting companies. Enhanced existing ESG rating models by screening effective indicators and adjusting indicator weights using model selection techniques with cross-validation and hyperparameter search. PROJECTS

Prediction of Product Satisfaction by Using Customer Reviews (NLP, Deep Learning) Washington University in St Louis March 2023

• Lead a group of 5 and carried out data exploration analysis on million-level datasets of customer reviews on an e-commerce platform.

• Enhance model performance by 10% leveraging NLP techniques on text review data to understand customer preferences. Leveraged various neural network structures to model rating predictions based on numerical review data. Database System Development (C++) Washington University in St Louis January 2023

• Implemented a buffer pool manager for fetching pages from disk to memory, with extendible hash table and LRU replacement policy.

• Built a multi-threaded B+ Tree index to support concurrent operations. Million Song Dataset Popularity Classification (Spark, AWS, Machine Learning) Washington University in St Louis November 2022

• Led a group of 3 and utilized PySpark and AWS to train machine learning models including logistic regression and random forest to do popularity classification on Million Song Dataset.

• Outperformed baseline AUC by 20% with various exploratory data analysis, data cleaning, and feature engineering techniques.

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