CHENYANG REN
New York,NY
Summary
Master's candidate in Statistics at Columbia University with a dual focus in statistics and economics. Skilled in transforming complex data into actionable insights to solve real-world business problems. Strong quantitative research background and passion for data-driven strategies enable effective decision-making at the intersection of analytics and finance.
Overview
2
2
years of professional experience
Work History
Credit Risk Data Analyst Intern
Bank of China U.S.A. New York Branch
06.2025 - Current
- Utilized SQLite and MS SQL Server to manage, maintain, and update data, promoting a robust data management platform that enabled accurate data analysis and entry.
- Implemented user-friendly reporting apps in MS Access using VBA for weekly/monthly data consolidation and KRI calculation， and a Python-based preprocessing tool that were deployed in daily operations.
- Constructed risk scorecards using Capital IQ plugins; applied ordinal logistic regression with gradient descent for risk prediction and executed stress testing to assess model performance under adverse scenarios.
- Built interactive Loan Dashboard, KRI Summary, and comprehensive risk reports using Qlik Sense, enhancing data visualization capabilities for better decision-making.
Strategic Consulting Intern
Accenture
10.2023 - 01.2024
- Designed interactive dashboards in Power BI to visualize Connected Vehicle Services comparisons; contributed to building a cloud-based database using SQL and Python on Microsoft Azure to support case analysis and strategic decision-making.
- Conducted focus groups and expert interviews to assess vehicle-to-everything services, providing key insights for service design planning.
- Assisted in designing a detailed vehicle-to-everything services and charging plan, covering service function updates, charging package pricing, and data package pricing; the plan was later recognized and adopted by clients.
Industry Research Intern
China Securities
07.2023 - 09.2023
- Conducted fundamental analysis of the bond market by examining macroeconomic indicators such as GDP growth, inflation rates, and credit data.
- Utilized data from People's Bank of China reports to replicate empirical studies and validate the Granger causality between monetary indicators—such as money supply, loans, and GDP—and market-based bond interest rates.
- Performed in-depth analysis using time-series forecasting to evaluate issuance methods and pricing strategies, delivering actionable insights to inform investment strategies and improve market comprehension.
Education
Master of Arts - Statistics
Columbia University
New York, NY12.2025
Bachelor of Arts - Economics(Mathematical Economics And Finance)
Central University of Finance And Economics
Beijing, China06-2024
Skills
- Random Forest
- XGboost
- Decision Tree
- K-nearest Neighbor
- Lasso
- Ridge
- ElasticNet
- Time Series
- Logistic Regression
- LSTM
Quantitative Analysis
Programming skills
- Python (Pandas, NumPy, Scikit-Learn)
- SQL (MySQL, MS SQL Server, PostgreSQL)
- R
- Stata
- Data Visualization (Matplotlib, Seaborn)
- Dashboards (Power BI, Qlik Sense)
- VBA (Excel, Access)
- Time Series
- Logistic Regression
- Linear Programming
- LSTM
Timeline
Credit Risk Data Analyst Intern
Bank of China U.S.A. New York Branch
06.2025 - Current
Strategic Consulting Intern
Accenture
10.2023 - 01.2024
Industry Research Intern
China Securities
07.2023 - 09.2023
Master of Arts - Statistics
Columbia University
Bachelor of Arts - Economics(Mathematical Economics And Finance)
Central University of Finance And Economics
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