Master of Science in Statistics introduces students to some of the deeper aspects of the theory of probability and statistics while exposing them to many of the tools, both computational and statistical, used in modern data analysis. Students will learn how to carry out formal statistical research within the context of a major project. Prior to program entry, students are expected to have a significant knowledge of Linear Algebra, Calculus, Intermediate Probability, Mathematical Statistics, Design of Experiment, and Regression. An average grade of 78% on the last twenty (20) one term courses taken is normally required for admission to the program. Higher grades on mathematical and statistical courses will increase an applicant's chances of acceptance into this program. 以上是Master of Science in Statistics的介绍，请基于以下我的简历信息，briefly explain how my educational background provides me with the foundation required for my chosen Master of Science in Statistics.
Education                                                                                  
College of Science, North China University of Technology, Beijing, China                                      09/2020-07/2024
Bachelor of Science in Statistics to be granted in July 2024        GPA: 3.97/4.0
Highlights: GRE 322 on July 1, 2023, IELTS 7 on Aug. 27, 2022
Scholarships & Awards: 1st Prize Scholarship with RMB7800 for Academic, Sports, and Innovative Practices for 2020-2024, School-Level Excellent Student Award in Dec. 2022

Computer Literacy                                                                          
SPSS, R Language, SAS, Excel, Python, Amos Graphics, MySQL, PyCharm, C++, Anaconda, Jupyter Notebook, PPT, Photoshop

Publications                                                                                
•  Weijia Huang, Jun Fu, Mengyuan Wang, Yuxin Wang, Yujie Cui, Research on the Influence of Housing Factors on Fertility Intentions based on Ordered Logit Model - Using CGSS2021 Data as an Example, Statistics and Application, ISSN Print: 2325-2251, ISSN Online: 2325-226X, Publisher: Hans Publishers, Oct. 2023
•  Weijia Huang, Research on College Students’ TikTok Live Streaming Experience and its Influencing Factors, Statistics and Application, ISSN Print: 2325-2251, ISSN Online: 2325-226X, Publisher: Hans Publishers, Oct. 2023
•  Xiaoxun Zhu, Jinfei Xue, Ming Hu, Zhantian Liu, Xiaoxia Gao, Weijia Huang, Low-carbon Economy Dispatching of Integrated Energy System with P2G-HGT Coupling Wind Power Absorption Based on Stepped Carbon Emission Trading, Journal of Renewable & Sustainable Energy, ISSN: 1941-7012, E-ISSN: 1941-7012, Publisher: AMER INST PHYSICS, Aug. 2023

Academic Experience                                                                             
Research on the Influence of Housing Factors on Fertility Intentions based on Ordered Logit Model - Using CGSS2021 Data as an Example                                                                                                       03/2023-Now
Team Leader – Team of 4
•  Established project objectives for participation in the Innovation & Entrepreneurship Training Project. Initiated and led the team in conducting preliminary qualitative analysis, identifying housing factors as a significant influence on residents’ fertility intentions. 
•  Utilized CGSS2021 data to develop an ordered Logit model, examining the effects of housing factors on fertility intentions across various income groups. Key factors analyzed include housing area, property ownership, and the number of properties owned.
•  Performed rigorous testing using the least squares method, subsample regression, and sample replacement methods to ensure robustness of the findings.
•  Generated research recommendations based on the analysis of 516 preliminary survey questionnaires, offering policy suggestions in the areas of macro-level regulation, supervision, financial leverage, and economic subsidies, to explore feasible measures to enhance residents’ fertility intentions.

Hype: Seeking the Best Products, Achieving Beautiful Skin - Investigation on the Influence of Hype Platforms on Facial Skincare Product Purchase Decisions in the Beijing Area                                                                                 12/2022-04/2023
Team Member -Team of 5
•  Collected 635 valid responses out of 785 distributed questionnaires, incorporated professional literature and secondary data for comprehensive analysis.
•  Employed descriptive statistics to showcase the demographic characteristics of the respondents, and combined findings from text mining and secondary data to evaluate the overall consumption patterns of XiaoHongShu (Little Red Book) users.
•  Conducted factor analysis using SPSS to determine the key factors impacting consumers’ purchasing decisions on the hype platform. Extracted and categorized consumer characteristics. Analyzed and quantified the effects of different key factors on consumers’ purchasing decisions using AISAS model and structural equation modeling.
•  Implemented the TOPSIS model to rank popular skincare brands. Conducted a case study on the top-ranked brand, Lancôme, providing enhancement recommendations to other brands regarding sales channels, hyping content, target audience, in addition to market regulation and consumer advice. 
•  Awarded 1st Prize (undergraduate group) at 13th National Undergraduate Market Research & Analysis Competition of Beijing 

Research on Market Demand & Consumer Preferences for Ready-to-Eat Meals in Beijing                                09/2022-12/2022                                                                                                           
Team Member -Team of 5
•  Applied a logistic regression model to identify six significant variables that influence the consumption behavior of frequent buyers. Developed targeted marketing strategies from production, research and development, and sales perspectives. Formulated marketing strategies for infrequent buyers based on characteristic analysis, emphasizing product, brand, and pricing considerations.

Research on College Students’ TikTok Live Streaming Experience and its Influencing Factors                           06/2022-08/2022                                                                                                          
Supervisor: Xuefeng Zhang
•  Employed the rough set theory and the simplified algorithm to analyze the data collected through Python programming and performed 0-1 normalization to process the data efficiently.
•  Developed a visually interactive interface to facilitate the analysis and interpretation of the results.
•  Examined the usage patterns and preferences of college students towards TikTok through the analysis of data, explored the loyalty of college students towards the TikTok app and evaluated the impact of TikTok live streaming on their behavior.

Low-carbon Economy Dispatching of Integrated Energy System with P2G-HGT Coupling Wind Power Absorption Based on Stepped Carbon Emission Trading                                                                  12/2022-08/2023 
Team Member -Team of 6
•   Contributed to the development of a low-carbon economic dispatch model for the Integrated Energy System (IES), incorporating power-to-gas (P2G) and hydrogen-doped gas units (HGT) under a stepped carbon trading mechanism.
•   Supervised the research process and conducted formal analysis of the proposed model. Demonstrated the effectiveness of the proposed model in improving wind power utilization, reducing wind abandonment costs, and decreasing CO2 emissions by analyzing different scenarios and linearizing the established model.

Internship Experience                                                                           
Business Development Department, Dagong Global Credit Rating Co., Ltd.                                    05/2023-06/2023
•  Collected and verified daily marketing revenue generation data from all regions, conducted trend analysis of revenue generation and comparative analysis of the strengths and weaknesses of each region using Excel.
•  Performed comparative analysis on the planned and actual revenue generation data of each region for proposing suggestion on work priorities of the next month.
•  Generated data visualization analysis reports for leadership decision-making reference with SAS, SPSS, R Language.
•  Sampled customer visit data and customer satisfaction to form reports for improving marketing efficiency and internal management.
•  Produced 4 bids containing competitive negotiation documents, technical analysis documents, RFQs, etc.

Human Resource Department, Beijing Shou'an Human Resources Consulting Service Co., Ltd.                08/2021-08/2021
•  Accurately entered and archived employee onboarding and offboarding information and documents.
•  Utilized Excel and PowerPoint to analyze and organize employee data, creating monthly personnel data reports and statistical tables related to personnel information, such as headcount reports, turnover analysis, and employee demographics.
•  Collaborated with HR team members to streamline data management processes and improve efficiency.

Extracurricular Activities                                                                              
Host & Team Leader, Bordersky Public Lectures, Beijing Jiaotong University                                  03/2023-04/2023
•  Reviewed the content of all volunteer lecturers' courseware for Lectures on Chinese Tradition & Popular Phrases for International Students to ensure that the content was in line with the topic of the lecture.
•  Collaborated with organizer, volunteer lecturers to ensure smooth rehearsals and promptly address any issues that arise. 
•  Coordinated with various departments to manage the time schedule of the official lectures based on the on-site situation.
Student Cadre, Computer Association of College of Science, North China University of Technology                 09/2021-Now
•  Coordinate with major corporations to arrange free lecturers and training camps on computer literacy for association members.
•  Participate in bi-weekly computer clinics to provide free computer service to members.
Vice President, Table Tennis Club of College of Science, North China University of Technology (NCUT for short)  09/2020-Now
•  Plan and organize weekly club activities and semester Table Tennis Competitions while actively recruiting new members. 
•  Awards: 1st Prize in the 2023 NCUT Spring/Summer Cup Table Tennis Challenge in Jun. 2023, 1st Place in the Women’s Division of the 2021 NCUT Freshman Cup Table Tennis Competition in Nov. 2021, 8th Place in the Grand Finals of the 15th Beijing Harmony Cup Table Tennis Competition in Sep. 2021, 1st Prize in the 2021 NCUT Spring/Summer Cup Table Tennis Competition in Jun. 2021.

Personal Interests                                                                           
Swimming, skiing, tennis, squash, dancing