Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach.
Overview
2
2
years of professional experience
Work History
Data Analytical Intern
Emerson Electric Company, Power& Water Solutions
2019.05 - 2019.08
Studied industrial automation solutions, engineering services of Emerson Process Management, Emerson’s Ovation control system, and SCADA technology used to manage hydropower operations
Contributed to a joint hydropower project by collecting and organizing financial data from domestic hydroelectric
Administrative bureaus to gain useful information such as median, variance, error
Processed counterparty data to facilitate information management.
Intern
PX SPAC Capital Inc
2021.05 - 2021.08
Assisted analysts in acquiring and researching financial statements, annual reports, and stock information of companies, prepared PowerPoint presentation slides
Participated in desk research of three projects (Royal Park Development, Florence Logistics Park and Center St
Louis) by carrying out industry analysis, SWOT analysis, estate policy research, financial analysis, etc
Accomplished other tasks including data visualization, document translation, official website development, etc.
Researcher
Decision Tree Models for Classification
2021.05 - 2021.09
Employed statistical and machine learning methods including Decision Tree, Logistic Regression, model selection, and regularization to solve classification problems
Reproduced Decision Tree algorithms in Python and explored factors affecting the algorithm's predictive power
Publication: Theory of Decision Tree Models in Classification Problems
Yuanzheng Wang, Jingqi Zhang, Linfeng Zhang
Accepted: International Conference on Statistics, Applied Mathematics and Computing Science (CSAMCS), 2021
Bank Customer Churn Prediction
Collect and analyse data
Feature preprocessing, using Onehotencoder to digitize categorical feature and split data set
Standardizing and Normalizing data
Model training and result evaluation: training different model like random forest, KNN, logistic regression with different parameter and evaluate result to find better model and parameter.
Education
Master of Arts - Statistics
Columbia University
New York, NY
12.2023
Bachelor of Arts - Applied Mathematics
Syracuse University
Syracuse, NY
12.2021
Skills
Programming: Python, R, SQL, Java
Machine Learning Techniques: Decision Tree, Regression Models, etc.
Exploratory Data Analysis, Hypothesis Testing, A/B Testing
Timeline
Researcher
Decision Tree Models for Classification
2021.05 - 2021.09
Intern
PX SPAC Capital Inc
2021.05 - 2021.08
Data Analytical Intern
Emerson Electric Company, Power& Water Solutions
2019.05 - 2019.08
Master of Arts - Statistics
Columbia University
Bachelor of Arts - Applied Mathematics
Syracuse University
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