Jiangbin Huang

Data Engineer & Data Scientist building scalable data systems, real-time ML pipelines, and quantitative risk models.

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Expertise

Data Engineering

  • End-to-end ETL pipeline design
  • Real-time streaming systems (Kafka, Spark)
  • Schema design, partitioning & indexing

Kafka · Spark · Delta Lake · SQL · AWS

Machine Learning

  • Feature engineering & model selection
  • LSTM, XGBoost, ARIMA
  • Cross-validation & performance evaluation

PyTorch · scikit-learn · TensorFlow

Statistical Inference

  • A/B testing & experiment design
  • Hypothesis testing & confidence intervals
  • Regression & time-series analysis

Probability · Statistical Modeling

Education

University of Washington

Master of Science in Applied Mathematics (2023–2024)

Scientific Computing, Database Management, Machine Learning for Big Data

University of Washington

Bachelor of Science in Applied Mathematics (2020–2023)

Data Structures, Algorithms, Statistical Methods, Computational Mathematics

Selected Coursework

Applied Mathematics

  • Probability & Random Processes
  • Scientific Computing
  • Partial Differential Equations
  • Linear Algebra & Numerical Analysis
  • Dynamical Systems & Chaos
  • Applied Complex Analysis

Computer Science

  • Data Structures & Algorithms
  • Database Systems
  • Algorithms & Complexity
  • Scientific Computing (Programming)

Statistics & Modeling

  • Statistical Methods
  • Discrete Mathematical Modeling
  • Time-Series Modeling