YUANZHENG WANG
New York,NY
Summary
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
05.2019 - 08.2019
- 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
05.2021 - 08.2021
- 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
05.2021 - 09.2021
- 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, NY12.2023
Bachelor of Arts - Applied Mathematics
Syracuse University
Syracuse, NY12.2021
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
05.2021 - 09.2021
Intern
PX SPAC Capital Inc
05.2021 - 08.2021
Data Analytical Intern
Emerson Electric Company, Power& Water Solutions
05.2019 - 08.2019
Master of Arts - Statistics
Columbia University
Bachelor of Arts - Applied Mathematics
Syracuse University
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