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Rose Zheng
@rosezheng
Data Analyst, Math Tutor, Python, Statistics, Bayesian ML, NYU Math Grad
États-Unis
Anglais, Chinois
À propos de moi
NYU Math grad (Northwestern B.A.) helping clients solve hard quantitative problems and make sense of messy data. Recent work: led a team building a Bayesian ML classifier (Gaussian processes) for medical imaging, and built a Python/JAX framework cutting Monte Carlo estimator variance by 44%. Skilled in Python (PyTorch, JAX, pandas, scikit-learn), statistical modeling, and Bayesian inference.
Also tutor calculus, stats, probability, and SAT/GRE math — former calculus TA and peer tutor. I explain things clearly and deliver work that's actually useful. Let's talk about what you need.
Compétences
Rose Zheng
hors ligne •
Voir mes services
Machine learning
I will do statistical modeling, ml, and data science in python
Portfolio
Expérience professionnelle
Research Data Scientist
New York University • Temps partiel
Mar 2026 - Present • 8 mos
Conducted independent research in machine learning and computational statistics at NYU’s Courant Institute of Mathematical Sciences. Built a scalable Gaussian process classifier using MCMC methods (NeurIPS 2026 workshop paper). Developed a neural importance sampling framework in Python/JAX that achieved 39% Monte Carlo variance reduction. Designed and backtested cointegration-based trading strategies on S&P 500 equities. Core tools: Python, PyTorch, JAX, NumPy, Pandas, scikit-learn.
Research Assistant — Data Analysis
Northwestern University • Temps partiel
Mar 2019 - Mar 2020 • 1 yr
Built Python scripts to monitor 50k+ daily sensor readings from a physics experiment, performing real-time anomaly detection on temperature time series. Identified a systematic overnight anomaly through time-series analysis, leading to hardware repairs that recovered 2 hours of daily experiment time.
