JINZE(SIMON) LI
***Washingtong Blvd, Jersey City, NJ 07310 347-***-**** adjgl5@r.postjobfree.com
EDUCATION
FORDHAM UNIVERSITY, Gabelli School of Business New York City, USA MS, Applied Statistics and Decision-Making 2018.08-2019.12
• Relevant Courses: Statistical Methods and Computation, Data Mining for Business, Text Analytics MS, Business Administration and Management 2017.08-2018.05
• Relevant Courses: Global Initiatives in Management, Applied Investment Principles, Finance Financial Modeling NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS, School of Management Nanjing, China BS, E-Business 2013.08-2017.06
• Relevant Courses: Management Information Systems, Economics, Data Structure, Data Analysis and Processing EXPERIENCE
LABO TECH INC New York City, USA
Analytics Intern 2020.04-present
• Automating data collection process from website and social media
• Visualizing and interpreting analytical results and performing price forecast
• Developing reports with key insights for the teams DINGFU DATA CO., LTD Beijing, China
Financial Analyst, Intern 2018.07-2018.08
• Conducted data analysis in product development, undertook outsourcing tasks of data mining tasks
• Designed operation process of modeling, supervised and managed data collecting, inputting and clearing
• Provided essential support in data screening and analysis WANGFUJING GROUP CO., LTD Beijing, China
Marketing Analyst Intern 2016.09-2016.10
• Summarized the daily sales data of retail shops and wrote weekly sales report
• Coordinated with different departments for weekly meeting
• Negotiated with retailers about promoting strategy PROJECTS
FORDHAM UNIVERSITY New York City, USA
Trade War Impact on The Global Stock Market Analysis 2019.07
• Collected global stock index and cleaned for further analysis
• Calculated daily rate of return for chosen indexes and created charts to observe the trends
• Created heatmaps to identify fluctuations of the indexes, and interacted with the trade war timeline for conclusions Michelin Star Evaluation Standard Prediction 2019.04
• Extracted and cleaned reviews data from Yelp
• Performed frequency analysis using tokenized data and plotted frequency chart
• Conducted sentimental analysis of the tokenized data, and compared sentimental scores Deloitte March Data Crunch Madness-NCAA Games Prediction 2019.03
• Processed data and reduced dimensionality to extract most effective 16 features from 105 original features
• Improved model performance by 15% by applying internationally professional Elo rating system to calculated and updated rank scores of 68 teams in 3500 games
• Trained supervised machine learning models and evaluated model performance via k-fold cross-validation technique and obtained winning percentage of 2200 games (Improved Log loss to 0.41) ADDITIONAL
• R, Python, SQL server, Microsoft Office (PowerPoint, Word, Excel), SPSS
• Language: Mandarin (Native), English (Fluent)
• Leadership Intelligence Certification