About Me

Hi, I am Yixuan Feng

Hi, I’m Yixuan Feng — a data storyteller and problem-solver. I believe data is more than just numbers; it’s a powerful narrative that, when uncovered, can inspire smarter decisions and meaningful change.

Today, every interaction creates data, and organizations that harness it effectively are the ones that thrive. My passion lies not only in analyzing data but in cultivating a culture where insights guide innovation, strategy, and growth.

I’m currently a Senior Business Analyst at Capital One, where I translate complex datasets into actionable business insights. Over the years, I’ve sharpened my skills in SQL, R, and Python through both academic projects and real-world problem-solving, bridging the gap between theory and impact.

At the core, my mission is simple: to transform raw data into clarity, strategy, and opportunity.

Education

Experience

Capital One

Senior Business Analyst | Aug 2022 – Present
Mclean, VA

• Designed and executed retention initiatives, partnering with cross-functional teams to launch marketing campaigns that drove customer re-engagement and incremental spend 
• Conducted user segmentation and behavioral analysis in SQL to identify high-value customer groups, unlocking untapped growth potential and refining targeting strategies 
• Built and evaluated A/B testing frameworks to measure strategy and incentive effectiveness, ensuring statistical validity and actionable product insights 
• Constructed and maintained financial models in Python to estimate profitability and optimize spend-incentive programs for business credit cards, supporting data-driven credit strategies and aligning with organizational objectives 

Avant

Analyst, Credit Risk  | Aug 2022 – Jan 2024
Chicago, IL

• Produced credit card risk monitoring deck in Python and SQL to review delinquency performance and analyze risk strategies 
• Tracked and reported on Avant’s portfolio and industry trends to stay ahead of an always-evolving consumer lending environment by identifying & implementing improvements, and suggesting additional analysis 
• Collaborated with the product team & data team on new initiatives and projects by providing insights on credit risk management 
• Created Looker dashboards to provide frequent updates and keep management better informed of current risk trends 
• Streamlined the process flow of projects and improve accuracy in JupyterLab to reduce compilation time and complexity by 50% 

MEMIC

Data Analyst Co-Op | Jul 2021 – Dec 2021
Portland, ME

• Built a point-to-point data mapping to assist migration of core business systems with increased data security and accessibility
• Collaborated with development team on ETL procedures to ensure data quality for data reporting using SQL Server and IBM Db2
• Analyzed insurance claims data to understand the characteristics of the population of claims, developed probabilities for making reserving decisions, built 82% accuracy machine learning models in R studio for predicting losses on an incurred insurance
• Researched external data from public statistics to comprehend the potential causes of worker’s compensation claims, documented API access techniques to enrich internal data
• Developed insightful visual presentation using Power BI to summarize aggregate claims data and to facilitate insurance loss control