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eeshalriz/README.md

Hi, I'm Eeshal 👋

Statistical Data Scientist | Heriot-Watt University Dubai
Specialising in financial volatility modelling, time-series analysis, and Bayesian inference.

🔬 Research

  • Bitcoin Volatility Forecasting using GARCH-family models (GARCH, EGARCH, GJR-GARCH, IGARCH, Component GARCH)

🛠 Tech Stack

R Python SQL Git

Statistical methods: GARCH models · ARIMA · Survival analysis · Bayesian inference · Monte Carlo simulation · PCA · Cox regression · Hypothesis testing

📌 Projects

Repo Methods Language
ARIMA Crime Forecasting ARIMA, ACF/PACF, AIC selection R
Bayesian Sampling Methods Inverse CDF, Rejection Sampling, MCMC R
Survival Analysis — Cox Model KM estimator, Cox regression, Wald/LRT/Score tests R

📍 About

  • 🎓 BSc Statistical Data Science — First Class Honours (Awarded 1 July 2026)
  • 📍 Abu Dhabi & Dubai, UAE
  • 🤝 Open to quantitative research and data science roles

LinkedIn

Pinned Loading

  1. arima-crime-forecasting arima-crime-forecasting Public

    ARIMA time series modelling pipeline in R — log transformation, differencing, ACF/PACF analysis, model selection

    R

  2. bayesian-sampling-methods bayesian-sampling-methods Public

    Inverse CDF, rejection sampling, and Metropolis-Hastings MCMC implemented from scratch in R

    R

  3. survival-analysis-cox survival-analysis-cox Public

    Kaplan-Meier survival estimation and Cox proportional hazards model in R

    R