I do Economics + Statistics at UBC, and I spend an unreasonable amount of time turning messy data into models that mostly behave.

• Interests: econometrics, causal inference, time series, statistical learning, NLP, macroeconomics theory, game theory
• What I do when I'm not studying: 🏃 Running, 🎮 video games, 🤓 manga & anime (yes, I have opinions)
• Where you most likely see me?: UBC Vancouver Campus (almost 365 days)

My goal now is to gain more industry experience so that I can understand real-world problems better and learn how to solve them using the methods I personally enjoy (e.g. panel FE models for inference and ensemble methods for prediction).

• Job & Research Searching: Available full time for up to 16 months
• Taking courses:
  • Honours Intermediate Macroeconomics II
  • Computational Optimization
  • Introduction to Statistical Inference
  • Time Series and Forecasting
• Projects
  • Some works for the Praxis UBC
  • Some NTL $\times$ Crime econometrics project "Illumi-naughty"
  • STAT 443 Group Project: Forecasting Net Savings of Households and Firms in Canada Using Structural Models
  • FX-monitor
  • Econometrics Game 2026: TBD
• Rewatching The Fifth Republic
• Running: DM me on Strava if you want to run 10k in the morning together

• Languages: Python, R, Julia, Matlab
• ML/Data: SQL, NumPy/pandas, scikit-learn, PyTorch, TensorFlow, OpenCV, Tidyverse, GIS
• Visualization: Matplotlib, Plotly, ggplot2, Tableau Public, Desmos (I've made great plots for MATH 200)
• Workflow: Git/GitHub, Linux, Quarto, GitHub Actions, LaTeX, and yes… Excel
• Academic:
  • Economics: Microeconomic Analysis, Cost Benefit Analysis, Macro Finance, Advanced Econometrics, Game Theory
  • Statistics: Statistical Learning, Statistical Inference, Statistical Modeling, Time Series Modeling
  • CS/DS: Machine Learning, Data Mining, Computer Vision, Relational Database, Basic Algorithms, Computational Optimization
  • Mathematics: Applied Linear Algebra, Stochastic Processes, Probability Theory, Multivariable Calculus

• Email: nathanzhang1017@gmail.com | kzhang83@student.ubc.ca
• LinkedIn: https://linkedin.com/in/nathan-zhang-944168290
• GitHub: https://github.com/NathanPalaiologos (Majula $\to$ Majula)