Research Assistant Quantitative Analyst

Yaxin Guo (Nancy)

646-***-**** *******@*******.*** https://www.linkedin.com/in/Yaxinyes/

TECHNICAL SKILL

• Programming & Software Skills: R, Python, SAS, MATLAB

• Statistics & Machine Learning: Neuroimaging, Survival Analysis, A/B Testing, Decision Tree, Regression Analysis, NLP, CNN, RNN, Random Forest, SVM, KNN, K-means, Time Series Analysis RESEARCH & WORK EXPERIENCE

Parra Lab New York

Research Assistant (part-time) April 2021 – Present Project: What’s in music that evoke population engagement among listeners

• Designing statistical models to segment classical music and extract key features of music

• Performing statistical analysis to find patterns and relationships between inter-subject correlations of electroencephalography and music stimuli

Fordham University New York

Research Assistant Sept. 2019 – Feb. 2021

Supervisor: Dr. Mengjie Huang

Project: Text Analysis for Earning Call Transcripts (In the process of publication)

• Built preprocessing models to automatically standardize text data, remove stop words and detect typos

• Performed sentiment analysis to systematically identify and extract information from text data

• Classified essential information from sentiment analysis into different categories

• Overlaid different categories and related stock price movements to train models for prediction CreditSpectrum New York

Research Analyst Intern Aug. 2019 – Oct. 2019

• Designed forecasting models and algorithms to estimate arbitrary floating rate loan pricing

• Collected investors performance data of the U.S. Auto ABS deals from 13 issuers, based on defined key terms, and created a systematic approach to restore the data PROJECTS EXPERIENCE

TEXT ANALYSIS FOR EARNING CALL TRANSCRIPTS

• Built text analysis models to tokenize, identify and extract key information from earning calls

• Used NLTK and Scikit-learn’s TF-IDF to count frequency of words, identify higher important topics, and then categorize information to sentiment words lists

• Built a deep neural network model that incorporated word embedding and Binary LSTM and learned from sentiments features and financial features (stock price) CLASSIFICATION of COVID19 USING CHEST X-ray IMAGES

• Built and trained the convolutional neural network using Keras (TensorFlow) to classify patients as infected with COVID or not using their chest x-ray images

• Designed preprocessing function to achieve data splitting, normalization, and augmentation EDUCATION

Fordham University New York

Master’s in Statistics Sept. 2019 – Feb. 2021

Coursework: Machine Learning, Data Mining, Casual Inference, Applied Regression, Artificial Intelligent, Decision Making, Stat Methods and Comp, Stochastic Calculus, Auto-Trading System, Differential Equations Northeast Agriculture University China

Bachelor’s in Financial Mathematics Sept. 2015 – June 2019 Coursework: R programming, Calculus, Financial Mathematics, Linear Algebra, Statistics, Probability Theory

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