Biography
Jiayang Nie is a M.A. and B.A. in Statistics at UC Berkeley. He is passionate about Data Science and Machine Learning.
Download my resumé.
Interests
- Causal Inference
- Machine Learning
- Deep Learning
- Quantitative Finance
Education
M.A. in Statistics, 2022
University of California, Berkeley
B.A. in Statistics, 2021
University of California, Berkeley
Experience
Machine Learning Engineer Intern
Responsibilities include:
- User Engagement Behavior Analysis
- Video Game Detection with Approximate Nearest Neighbor and Transformer
- Multi-Layer ML Model Pipeline
- Dicision Boundary Smoothing and Data Augmentation
Quantitative Researcher Intern
Responsibilities include:
- Panel Data Analysis
- Machine Learning Model Building
- Quant Trading Algorithm Design
- Efficiency Improvement by Numba
- Genetic Programming Design and Evaluation
Computer Vision Researcher Intern
Responsibilities include:
- Deep Learning Research
- Anti-Facial Recognition Spoofing Attack Research
Data Analyst Intern
Responsibilities include:
- Default Risk Modelling
- Data Pipeline
Publications
(2020).
COVID-19 Effects on Financial Markets: An Intraday Analysis.
In Financial Transformations beyond the Covid-19 Health Crisis.
Projects
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