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Location:
New York City, New York, United States
Posted:
January 21, 2019

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Resume:

Yaxin Wang

*** **** ***** **, *** York, NY *****

linkedin.com/in/yaxin-wang Q ac7892@r.postjobfree.com github.com/yw3042 Æ 917-***-**** EDUCATION

Columbia University New York, NY

Master of Arts in Statistics Sept 2017 - Dec 2018

Zhongnan University of Economics and Law Wuhan, China Bachelor of Science in Finance; Renmin scholarship Sept 2013 - Jun 2017 University of Rhode Island Kingston, RI

Bachelor of Science in Business Administration; Dean’s List; Excellence in Finance; GPA 3.96(1%) Sept 2015 - Jun 2016 KEY SKILLS

+ Programming language & software: Python, R, SQL, Excel, Matlab, SAS, SPSS, Tableau

+ Technique Skills: Statistics, Machine Learning, Data Visualization, Natural Language Processing, A/B test, Experiments Design

+ Soft Skills: Problem Solving, Critical Thinking, Creative Thinking, Interpersonal Skills, Communication & Presentation ACADEMIC PROJECTS

Airbnb Recommendation System Sept 2018 - Dec 2018

+ Constructed a new rating system based on 38,315 listing properties in New York city

+ Fitted a prediction model and optimized model performance by applying 10+ advanced machine learning algorithms(SVM, Random Forest, GBM, AdaBoost, XGBoost etc.)

+ Provided best match search results to users based on their preferences Image Super Resolution Sept 2018 – Dec 2018

+ Constructed a prediction model to produced a high-resolution image based on a low-resolution image input

+ Trained the baseline model(linear regression model) to map vectorized low/high resolution image patch pairs

+ Optimized feature extraction, non-linear mapping and image reconstruction with advanced ML method super resolution convolutional neural network (SRCNN)

+ Evaluated and Compared model performance by speed, accuracy, running cost and interpretability Tourists Guide in New York City Sept 2018 – Dec 2018

+ Developed a R shiny application to rank hotels, restaurants, and entertainment venues in safety levels

+ Visualized crimes of a specific time period, region and amount in a map

+ Conducted geographical and demographic analysis and created charts utilizing data visualization tools in Python & R High-risk Individuals Analysis Based on Twitter May 2018 – Aug 2018

+ Leveraged over 100,000+ tweets to investigate behavior patterns of high-risk individuals

+ Conducted text mining by n-gram model and visualized results with the world cloud and time series graphs EXPERIENCE

Citizens Crime Commission of New York City New York, NY Data Scientist Intern May 2018 - Aug 2018

+ Used SQL, Python and R to collect, clean, and process structured and unstructured data from diverse source

+ Conducted quantitative and qualitative analysis to learn people’s congnition towards Cybersecurity and Artificial Intelligence(AI)

+ Tracked trends of Cybersecurity and AI by acquiring news from New York Times website with API and Implemented natural language processing(NLP) techniques to perform sentiment analysis of related news

+ Communicated summaries of findings with both technical and non-technical team members Ifund Asset Management Ltd Shanghai, China

Quantitative Research Assistant Jul 2017 - Aug 2017

+ Implemented data scraping with Python to extract company news related to performance predictions from Wind database

+ Categorized news to Good news or Bad news with Natural Language Processing techniques

+ Explored the impact of performance predictions to the stock price of companies and optimized existing models

+ Interpreted results, presented findings, and recommended alternative solutions to research management and business decision-makers Hutai Securities Co.LTD Xuzhou, China

Data Analyst Assistant Dec 2016 - Jan 2017

+ Managed CRM (Customer Relationship Management) system to find clients’ investment patterns and visualized results with Tableau

+ Communicated with clients to learn clients’ risk preferences and recommended corresponding financial products LEADERSHIP AND ACTIVITIES

+ Organized 10+ events as Vice President of Student Union, Member of Beta Gamma Sigma, Member of Columbia Statistics Club

+ Attended 2017 & 2018 Columbia Data Science Hackathon



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