Ru Sheng

About Ru Sheng

As a data scientist and quantitative researcher, I bring a hybrid background that bridges…

Experience

1. Senior Data Scientist (Lead)

   Astrumu

   Jul 2021 — Present · WA, US

   Developed a reinforcement learning framework to optimize personalized education and career recommendations. The system dynamically adapts to user profiles and real-time feedback, maximizing long-term educational ROI and supporting AstrumU’s mission in the education-finance space- Built and maintained a large-scale knowledge graph connecting skills, jobs, credentials, and courses. Applied machine learning techniques including classification, clustering, entity matching, and embedding-based similarity to enable intelligent recommendations and accurate skill-job matching- Designed predictive models to recommend optimal educational paths and career trajectories based on user performance and labor market trends, significantly improving user engagement and program effectiveness- Built and maintained robust data pipelines and databases using Microsoft Azure Databricks, ensuring high data reliability and scalability to support real-time analytics and experimentation- Delivered responsive production data support, reducing average issue resolution time by 5x and enhancing overall system performance and decision-making speed- Worked closely with cross-functional teams including engineering, product, marketing, and sales to align data initiatives with strategic business objectives. Helped foster a collaborative culture and accelerate product innovation.

Education

• Marquette University

  Doctor of Philosophy (Ph.D.)

• Beijing Normal University

  Bachelor’s Degree

• The University of Connecticut School of Business

  Doctor of Philosophy (Ph.D.)

  2010

Skills

• Signal Processing
• Equity Derivatives
• Quantitative Equity Analyst
• Hypothesis Testing
• Asset Allocation
• R
• Risk Management
• Quantitative Equity Research
• Thomsonone
• Portfolio Management
• Factset
• Alternative Investments
• Hedge Funds
• Minitab
• Stochastic Calculus
• Interest Rate Derivatives
• Hidden Markov Models
• Python
• Emerging Markets
• Quantitative Analytics
• Cds
• Noisy Data Analysis
• Equities
• Statistical Arbitrage
• Matlab
• Long/Short Equity
• Multi Factor Models
• Bayesian Inference
• Etf Construction
• Stochastic Filtering
• Data Analysis
• Statistical Sampling
• Fixed Income
• Stata
• Monte Carlo Simulation
• Ibm Nottizza
• Machine Learning
• Stress Test
• Structured Products
• Market Risk