2021 - Present

Data Scientist / Full Stack Engineer – Box

Strategic Decisions Platforms & Analyses Project

• The main goal of my work is to help Box transfer data from data center to public cloud.
• Our team's purpose is to build a real time system that monitor the cost for each public cloud of each engineering team.

2020

Data Engineer – Gallup

World Poll Survey Project

• Emphasize on transferring traditional world poll survey system into a more efficient and modern system.
• Participate in implementing front-end user friendly interfaces using Python, ReactJS and JavaScript and building connections using API to the back-end databases.
• This project will significantly shorten the survey processing time from 6 months to 48 hours.

Artificial Social Intelligence for Successful Teams Project

• Clean and pre-process data into a much more concise and efficient way from json format to csv format.
• The data is from virtual reality game and will be further used to study and predict the behavior of players.

2019

Data Science Intern – Digitas North America

Samsung Mobile Project

• Applied SQL based on Google big cloud platform and implement Python to self-extract tables from complicated databases.
• Calculate the migration rate of people switching from their current phones to the latest Samsung phone model.
• Operated R to test statistical significance and visualize results and found associating optimal number of advertisements to serve audience for each phone group.

Macy’s Beauty Project

• Collaborate with other interns from different fields to form a business strategy to promote Macy's beauty sales toward Gen Z customers.
• Excel was utilized as the primary tool to analyze survey results. A/B testing skills were applied to measure the success of metrics we created.
• Our ultimate research findings yielded a proposed strategy to launch influencer-customized beauty boxes.

2015 - 2017

Research Assistant – Stony Brook University

Scientific Research Project

• Applied statistical methods like regression analysis to analyze large datasets. Operated Matlab to visualize results.
• Water vapor prediction is found to be crucial for cyclone center pressure prediction accuracy.
• Thesis publication link

2019

IST 718 - Big Data Analytics Class Project

FIFA19 Players Analysis Project

• Perform machine learning algorithms in Python Spark environment following pipelines procedure.
• Predict FIFA football players overall score based on his skills and performance using algorithms such as Linear Regression, Random Forest Regressor, and Gradient Boosting Regressor.
• Operate k-means cluster to group players with similarity.

2019

IST 707 - Data Analytics Class Project

Airbnb Hosts Review Score Prediction Project

• Operate machine learning algorithms in Python to predict Airbnb hosts' review score.
• Specific machine learning models include Linear Regression, Random Forest Regressor, and Gradient Boosting Regressor.
• Grid search and cross validation techniques were applied to tune and analyze models.

2020

IST 736 - Text Mining Class Project

Trump's Tweets Analysis Project

• Utilized Tweepy to scrape Trump's recent tweets.
• Pre-processing procedures include remove stop words but keep negation words, filter out non-alphabetical characters, lower the case and remove empty tweets.
• In this project, nltk packages, regular expression and feature engineering like count vectorizer, boolean vectorizer and TF-IDF are implemented.
• Support Vector Machine is applied for sentiment analysis and LDA(Latent Dirichlet Allocation) is operated for topic modeling.

2020

Syracuse University

Master of Science | Major: Applied Data Science | GPA: 3.97

2017

Stony Brook University

Master of Science | Major: Atmospheric Sciences | GPA: 3.5

2014

Nanjing University of Information Science and Technology

Bachelor of Science | Major: Atmospheric Sciences | GPA: 3.63