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EDUCATION

New York University

Master of Science in Information System Graduate School of Arts and Science Sep 2023 - May 2025

New York

Relevant Courses: Programming Languages, Data Comm & Networks, Fundamental Algorithms, Data Science for Business, Robo Advisors & Systematic Trading

Wenzhou-Kean University

Bachelor of Art in Mathematical Sci - Data Analytics Opt College of Science, Mathematics and Technology

Sep 2019 - May 2023

Wenzhou

Minors: Economics

Relevant Courses: Found of Data Analytics, Big Data Computing, Data Visualization, Machine Learning, Stat Data Mining, Applied Statistics, Numerical Analysis, Differential Equations, Economics SKILLS, CERTIFICATIONS & OTHERS

Programming Languages: Python, R, Java, SQL, C++

Data Science Skills: Logistic Regression, Cross Validation, KNN, Decision Tree, Random Forest, Natural Language Processing

Data Visualization: Tableau, Power BI, Microsoft EXCEL (Pivot Table, VBA, VLOOKUP) Certifications: Bloomberg Market Concepts certification, IBM SQL Learning Certificate, Google Analytics for Power Users Certificate

Languages: English, Chinese

PROFESSIONAL EXPERIENCE

WeBrandingGlobal

Data Analysis Intern

Jul 2022 - Sep 2022

New York (Online)

Analyzed 5,000+ Buydeem customer reviews on e-commerce platforms, focusing on peak sales from April to July.

Used R for NLP to categorize customer feedback, enhancing social media reports with insightful visualizations.

Employed Tableau for real-time customer satisfaction analysis, aiding marketing adjustments based on feedback.

Changjiang Securities

Investment Analysis

Jul 2021 - Sep 2021

Shenzhen, Guangdong Province, China

Performed an extensive quantitative analysis of 20 investment funds in Excel, leveraging pivot tables and advanced statistical functions for in-depth performance evaluation. Created an interactive Excel dashboard with charts, trend lines, and scatter plots for dynamic tracking and comparison of fund performance.

Incorporated Modern Portfolio Theory and Behavioral Finance principles into the analysis, providing strategic insights for asset allocation decisions to the investment team. RESEARCH EXPERIENCE

In-depth study of data science application and practice projects Feb 2022 - Apr 2022 Collaborated with a renowned data science professor on a predictive analytics project, blending theory with practical application for an independent final output. Utilized Python's Pandas and NumPy for data preprocessing and validation, ensuring model accuracy and resilience against overfitting with k-fold cross-validation and confusion matrices. Authored and presented a research paper on predictive analytics ethics in social sciences at the STEHF 2022 conference.

Credit Card Fraud Detection Prediction: Machine Learning Algorithms Mar 2023 - May 2023 Led a data science project to develop machine learning models for financial fraud detection, tackling datasets with significant class imbalance.

Specialized in refining algorithms like GLM, DT, GBM, and NB classifiers to detect fraud patterns effectively.

Authored a study on model efficacy, emphasizing GLM's precision in reducing false positives in fraud prediction.

Research Analysis of Global Happiness Indices Using Machine Learning Feb 2023 - May 2023 Utilized a comprehensive machine learning approach, including MLR, SVR, DT, and RF, to analyze complex factors influencing well-being, surpassing traditional statistical analysis. Conducted thorough data exploration to identify top-performing countries in happiness and key contributing factors, with Random Forest Regression showing high predictive accuracy (R-squared of 0.9706109). Jiani Jin

551-***-**** 丨jj3988@nyu.edu

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