Information Technology Data Science

BOWEN ZHENG

201-***-**** // ******@***.*** // www.linkedin.com/in/bowen-zheng-625a43329

APPLYING FOR

Information Technology (Data Analysis) Internship

EDUCATION

NEW YORK UNIVERSITY, New York, NY. 09/2024 - 06/2026

The Courant Institute of Mathematical Sciences & The Stern School of Business

M.S. in Information Systems. GPA 3.22

●Coursework: Fundamental Algorithms, Database Systems, Data Science for Business, Databases for

Business Analytics, Decision Models and Analytics, Foundation of Finance

BEIJING UNIVERSITY OF TECHNOLOGY(BJUT) Beijing, China 09/2020 - 07/2024

Dual degree in B.E. from Electronic Information Engineering from Beijing University of Technology and

University College Dublin.

●Coursework: Data mining and machine learning, Data structures and algorithms, Numerical method and

optimization, Probability and Satistics, Object-oriented programming, Wireless communications.

●Honors/Awards: National Bronze Prize of College Student Market Survey and Analysis Competition

2nd-Year Students’ Scholarship, 3rd-Year Students’ Scholarship, College outstanding Social Service Award.

EXPERIENCE

Beixin Ruifeng Fund Management Co., Ltd., Beijing, China 07/2022 - 09/2022

Fund Product Assistant Intern, Department of Market Line

●Collected and analyzed five years of fund reports from leading Chinese securities firms using Excel and Tableau.

●Built data visualization dashboards in Tableau to present historical trends and competitive advantages of

100+ stock funds.

●Developed data-driven insights to support investment strategies and market benchmarking.

PROJECT

Insurance Plan Recommendation System (NYU Project) 09/2024 - 12/2024

●Developed a data-driven recommendation system using Python, SQL (Azure SQL), and Flask.

●Applied logistic regression for plan recommendations based on user health metrics, achieving 67.36% accuracy.

●Designed a user-friendly interface with HTML, CSS, and JavaScript for data input and plan visualization.

●Enhanced database efficiency through schema optimization and indexing techniques.

Market Analysis of Pre-Made Food Consumption (Commerce Statistical Society of China) 09/2022 - 06/2023

●Conducted surveys with 514 Gen Z consumers to assess purchasing behaviors, satisfaction, and awareness by using

Excel and Python((Pandas, NumPy)

●Applied statistical techniques such as PEST analysis, Net Promoter Score (NPS), and logistic regression using

Python and SPSSAU.

●Identified consumer segments (quality-focused, prudent, experience-driven) and proposed strategies for product

and marketing improvements.

Sentiment-Driven Recommendation Algorithm Development (Thesis, BJUT) 10/2023 - 06/2024

●Researched and implemented recommendation algorithms integrating NLP-based sentiment analysis (BERT).

●Developed Graph Neural Networks (GAT, GCN) to model user-product relationships, enhancing recommendation precision.

●Achieved a 97% improvement in recommendation accuracy through emotional data integration.

COMPUTATIONAL SKILLS / OTHER

Programming Languages:Python, Java, SQL, C, MATLAB.

Framework, Tools & Software: Flask, React, scikit-learn, Numpy,Pandas, SPSSAU, Excel, Tableau

PowerBI, MySQL.

Languages: English (fluent), Mandarin (native)

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