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Rucheng Zhou

Data scientist
Machine Learning Engineer

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About Me

My name is Rucheng Zhou. I hold a Master of Analytics from the University of South California, where I gained a deep understanding of data analysis, machine learning, and statistical modeling.

My Bachelor's degree in Applied Mathematics, with a minor in Statistics and Studio Arts, from the University of Rochester, has equipped me with a strong quantitative foundation. What excites me most about data science is its power to transform raw data into actionable insights.

I am passionate about leveraging data to solve complex problems, optimize processes, and predicate behaviors. I believe that data has the potential to revolutionize industries and create positive impacts, and I'm committed to being at the forefront of this transformation.

Experience

China Construction Bank

Data Scientist, Big Data Team

Led a team of 3 to develop “Hui Understand You”, a digital microloan platform, improving user engagement and loan approval rate by 26.7%. Responsible for an end-to-end automated user financial behavior analysis system, enhancing risk assessment efficiency.

  • Directed platform development and designed the end-to-end automated data analysis system; Delivered phase-specific analysis reports to stakeholders.
  • Developed a user behavior dashboard using Tableau to track abnormal patterns, which automated alerts for further investigation.
  • Conducted network analysis using graph-based models to identify and cluster fraudulent and default patterns, optimizing anti-fraud strategies.
  • Refined the credit scorecard model, integrating the LFRM model and anomaly detection techniques, which increased prediction precision by 17%.

Penghua Fund Management Co., Ltd.

Data Analyst Intern

During a four-month internship, gained practical experience in data analysis within the financial sector. Engaged in hands-on data work, contributing to projects that required precise data gathering, processing, and interpretation in a dynamic fund management setting.

Education

University of Southern California

Jan 2022 - Dec 2023

Master of Analytics (MS)

A graduate program focused on developing expertise in data analysis, predictive analytics, and data science. Gained proficiency in advanced analytical tools and techniques, with a strong foundation in statistical analysis and machine learning.

University of Rochester

June 2016 - May 2020

Bachelor of Science in Applied Mathematics

Completed a rigorous undergraduate program with a minor in Statistics and Studio Arts. Developed strong quantitative and analytical skills, and engaged in various interdisciplinary projects that combined mathematical concepts with artistic design.

Projects

Coursistant Project Image

Coursistant

Coursistant is an innovative AI-driven platform designed to transform educational interactions. Tailored for specific academic fields, it offers customizable Q&A environments, making it perfect for students and experts alike. The platform ensures that all inquiries receive accurate and current responses by allowing educators to easily update and manage content. This tool not only enhances learning but also supports complex research needs, positioning it as an essential educational technology in both classroom settings and professional research environments.

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Empowering User Experience Project

Empowering User Experience

Optimized product recommendations through AB Testing and UI Enhancements. This project involved comprehensive data analysis, development of UI prototypes, and employment of rigorous statistical methodologies to deliver actionable results. It included the creation of a Logistic Regression model and an end-to-end UI change implementation process.

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News Intelligence Project

News Intelligence

Led the development of a news recommendation system by analyzing user history for click prediction. This project utilized Python for data mining of large user datasets and incorporated machine learning techniques like itemcf, YoutubeDNN, and advanced feature engineering for enhancing click predictions.

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Richter’s Predictor Project

Richter’s Predictor: Modeling Earthquake Damage

Participated in an online modeling competition to predict earthquake damage. This included feature selection and cleaning of a significant dataset, and modeling using ensemble methods such as random forest and Catboost to achieve high accuracy.

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Skills

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