Data Analyst

Education

+1-614-***-****

Nuo Chen

Los Angeles

************@*****.*** www.linkedin.com/in/nuochen916 University of Southern California Dec 2024

Master of Science, Business Analytics

• Coursework: Machine Learning, SQL & NoSQL Databases, Time Series Analysis, Natural Language Processing, Fraud Detection, Big Data Analytics, Cloud-Based BI Tools

University of California, Irvine Jun 2023

Bachelor of Science, Mathematics

• Coursework: Calculus, Linear Algebra, Probability and Statistics, Differential Equations, Mathematical Modeling, Real and Complex Analysis, Numerical Analysis, Statistical Inference, Quantitative Analysis, Data Analysis, Project Management Work Experience

Beats by Dre May 2024 - Jul 2024

Business Analytic & Branding Strategy Extern Remote, CA, USA

• Designed and implemented modular ETL pipelines in Python and Excel to clean and transform 500+ Gen Z survey responses.

• Conducted predictive analysis to identify behavioral patterns, resulting in a 20% boost in campaign targeting accuracy

• Built regression-based models to forecast sales trends, contributing to a projected 10% increase in quarterly revenue.

• Synthesized insights into strategic recommendations, delivering stakeholder-ready dashboards and presentations. Niuniu Selected Investment Co., Ltd May 2022 - Aug 2022 Data Analyst Intern Shenzhen, China

• Developed SQL queries and ETL scripts to analyze portfolio performance across 50+ stocks.

• Applied time series forecasting and portfolio risk analysis to guide reallocation strategies, leading to a 5% gain in quarterly returns.

• Built interactive Tableau dashboards for monitoring of portfolio KPIs, streamlining decision-making for investment managers.

• Authored weekly analytics reports with actionable investment insights, directly resulting in a 10% shift toward high-yield asset classes. Projects

Cost-Driven Credit Card Fraud Detection Using Gradient Boosting and ROI Analysis Oct 2024 - Nov 2024

• Developed a full-cycle fraud detection system using Python on 98K+ real-world transaction records with low fraud prevalence.

• Engineered 10+ advanced time-based, behavioral, and geographic features; selected variables using wrapper-based feature selection.

• Trained a LightGBM model with custom loss functions, evaluated with ROI-driven financial curves to optimize thresholding.

• Achieved 78% FDR@3% on out-of-time validation and projected an estimated annual savings of $47.3M for the financial institution.

• Delivered model artifacts and documentation for deployment in cost-sensitive production environments. Analysis of Spotify and YouTube Data Oct 2023 - Dec 2023

• Collected and cleaned 50K+ records of song metrics using Python and SQL; merged cross-platform data for multi-dimensional analysis.

• Uncovered significant correlation (R = 0.78) between tempo and user engagement using regression analysis.

• Built and evaluated classification models (75% accuracy) to predict song popularity based on audio features.

• Developed interactive Tableau dashboards highlighting platform-specific listener trends and seasonal engagement patterns. Financial Mathematics for Pricing Options May 2022 - Jun 2022

• Applied Black-Scholes-Merton and stochastic volatility models to evaluate SQQQ and TQQQ option pricing strategies.

• Backtested portfolio hedging efficiency using Python and Matlab, resulting in a 15% improvement in simulated hedge accuracy.

• Created sensitivity analyses for strike price, implied volatility, and time-to-maturity variables.

• Produced a research report with quantitative recommendations for dynamic risk-adjusted hedging in volatile markets. Technical Skills

• Programming & Tools: Python, R, Excel, SQL, Matlab, Mathematica, Tableau, Power BI, Microsoft Office, Spark, Power Query

• Analytical Techniques: Statistics Analysis, Data Analysis, Data Cleaning, A/B Testing, Hypothesis Testing, Regression, Classi- fication, Market Research, Forecasting, Causal Inference, Metrics Development, Experimentation, Agile Methodology, Stochastic Process, Data Interpretation, Statistical Methods, Optimization Methods, Data Visualization

• Data Science & Machine Learning: Deep Learning, Machine Learning, Data Science, Probabilistic Classification Models, Live Production Models, AI Integration

• Database Management & BI: PostgreSQL, MySQL, NoSQL, Oracle, Database Management, Business Intelligence Tools

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