作为北方工业大学理学院的教授，徐礼文既是Weijia Huang的班导师，也是Weijia Huang的专业课导师：2022年9月至2023年1月期间教授了《大数据机器学习Machine learning on big data》，2023年2月至2023年6月教授《时间序列的Time Series Analysis》。请根据以下Weijia Huang的英文简历和徐礼文教授提供的信息，以徐礼文教授的口吻为Weijia Huang用英文完成一封英文推荐信，推荐Weijia Huang到加拿大攻读金融、经济和统计学领域的硕士课程：
Weijia Huang
9-102 No. 82 ZhiChunLu, Haidian District, Beijing, China
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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 RMB4000 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, Word, Photoshop

Publications
• 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
• Weijia Huang, Analysis of the TikTok Live Broadcast Experience and Its Influencing Factors, Statistics and Application, ISSN Print: 2325-2251, ISSN Online: 2325-226X, Publisher: Hans Publishers, Aug. 2023

Academic Experience
Analysis & Strategic Research on the Current Situation of Housing Factors Affecting the Fertility Intentions of Different Income Groups - Based on CGSS2021 Data Analysis 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 a multiple regression 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 ordered logit regression, subsample regression, and sample replacement methods to ensure robustness of the findings.
• Generated research recommendations based on the analysis of 500 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.
• Completed a research paper of *** words, scheduled for submission to the Journal of Capital Normal University by September.

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 12/2022
Team Leader -Team of 5
• Led data collection efforts by distributing 264 questionnaires and successfully obtained 232 valid responses. Incorporated professional literature and secondary data to support comprehensive analysis.
• Conducted descriptive statistical analysis to examine the demographic attributes of the participants. Studied the fundamental opinions and purchasing behaviors of various groups towards ready-to-eat meals. Utilized factor analysis to extract four common factors related to purchasing decisions for categorizing frequent and infrequent buyers.
• 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.
• Summarized four key conclusions from the analysis results and provided three recommendations for the advancement of the ready-to-eat meal industry.

Analysis of the TikTok Live Broadcast Experience and Its Influencing Factors 08/2022-09/2022
Supervisor: Xuefeng Zhang
• Applied the rough set theory and the simplified algorithm to analyze the data obtained from Python programming and performed 0-1 normalization for data processing.
• 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, investigated the loyalty of college students towards the TikTok app and the impact of TikTok live streaming on their behavior.
• Completed an 8000-word research paper on the findings of the study and published it in Statistics and Application in Aug. 2023.

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
Bordersky Public Lectures, Beijing Jiaotong University 03/2023-04/2023
Host & Team Leader for Lectures on Chinese Tradition & Popular Phrases for International Students
• Reviewed the content of all volunteer lecturers’ courseware 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.
Computer Association of College of Science, North China University of Technology 09/2021-Now
Student Cadre
• 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.
Table Tennis Club of College of Science, North China University of Technology (NCUT for short) 09/2020-Now
Vice President
• Plan and organize weekly club activities and semester Table Tennis Competitions while actively recruiting new members.
• Represented the college as a key player in the table tennis team in competitions and won a series of awards, such as 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.
2023 National Youth Environmental Volunteer Activity 09/2020-Now
Volunteer
• Awarded honor title of Environmental Star
本人徐礼文，北方工业大学理学院的教授，既是黄维嘉同学的班导师，也分别在2022年9月至2023年1月期间为她讲授了《大数据机器学习Machine learning on big data》，2023年2月至2023年6月为她讲授了《时间序列的Time Series Analysis》课程。这两门课程提供了处理实际各个领域复杂数据建模预测的基础知识。在我看来，黄维嘉是一个优秀的女孩，喜欢在学业上挑战自己。在课堂上，她积极参与讨论。凭借敏锐的头脑，她总是第一个理解教材的要点，并激励其他人在讨论中分享他们的想法。正如我所料，她在班上取得了优秀的课程分数，整体学习成绩优异，大数据机器学习，年级150人她排第一名。
由于大数据机器学习和时间序列分析两门课程内容较难，需要学生查阅大量文献资料和教学视频，在课下多花时间进行理解和知识运用。因为对这方面知识的热爱，黄维嘉在课下曾多次与我讨论，针对学习的重点难点提出疑问和自己的见解。她经常在课后继续根据课堂所讲内容，开始延展性的分析，并提出具有实际意义的假设。她会让我提供大量的书本和视频，并且会认真对待我提供给她的每一份资料、每一个建议，她都会在课下贯彻落实，第二天又会根据前一天的分析结果给我反馈。身为统计专业的学生，对任何事情都抱有认真的态度是我认为最重要的品质。
在大数据学习中，我们曾多次涉及上万条数据的分析和预测，面临如此庞大的数据时，黄维嘉总是第一个站出来接受这项任务，并表现出浓厚的兴趣，展现出她对数据处理的热爱。并且对数据具有敏锐的洞察力，比如：在数据清洗时，她总能发现一些常人容易忽视的数据漏洞和异常值；在进行假设检验时，她对检验方法的运用更是超过了大多数学生，能够进行独立的统计调查。
她还积极参加我带领的研究生班级关于神经网络的研讨课，每周都能在第一排见到她。虽然课堂一开始对她有巨大的挑战，因为她从未涉及过这类知识领域，但是她对统计学的热爱，和不放弃、与知识拼搏到底的意志，让她终于在几堂课后，大胆并且细致的发表了自己的看法。她的看法虽然很稚嫩，不成熟，但是却让我看到了一个合格的研究者该有的品质：逻辑、观点、论证、自信，和热爱。
除了专业课，黄维嘉还对各种研究感兴趣。她是一个天生的研究者：她渴望知识；具有较强的学习能力和创新精神；她有一种坚韧的美德，这对于成为一名研究人员来说是非常重要的。