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59alireza59/README.md

S. Alireza Seyedi

Applied Data Scientist & Quantitative Analyst | Forecasting | Optimization | Risk Modelling | ESG & Business Analytics

I am an applied data scientist and quantitative analyst with a PhD in Mathematics, working across forecasting, optimization, risk modelling, ESG analytics, healthcare analytics, quantitative finance, and business decision support.

I build reproducible analytical workflows in Python, R, Stata, MATLAB, Excel, MySQL, LaTeX, Git, GitHub, ArcGIS, and QGIS, with a focus on turning complex data and models into practical insights, reports, and decision-support tools.

Core Skills

  • Python, R, Stata, MATLAB, Excel, MySQL
  • Forecasting, time-series analysis, statistical modelling, and machine learning
  • Monte Carlo simulation, optimization, risk modelling, and quantitative finance
  • ESG analytics, environmental economics, healthcare analytics, and business analytics
  • Data visualization, analytical reporting, and reproducible Git/GitHub workflows
  • GIS-supported spatial analysis with ArcGIS and QGIS

Selected Projects

My repositories include applied and reproducible projects in quantitative finance, business analytics, environmental economics, ESG analytics, healthcare analytics, forecasting, simulation, optimization, and decision-support workflows.

Quantitative Finance

Option pricing, Monte Carlo simulation, Black–Scholes testing, change-point detection, lead-lag analysis, and Lévy market models.

Environmental Economics & ESG Analytics

Cost–benefit analysis, ecosystem valuation, Monte Carlo risk analysis, biodiversity valuation, and sustainability decision support.

Business Analytics

Forecasting, fraud monitoring, exploratory analysis, machine learning, visualization, and reporting workflows.

Quantitative BioMedicine

Clinical trial analytics, health-data analysis, statistical modelling, and reproducible reporting in R.

Contact

Popular repositories Loading

  1. Quantitative-Finance Quantitative-Finance Public

    A Quantitative Finance Engineering Project

    R 16 2

  2. Quantitative-BioMedicine Quantitative-BioMedicine Public

    This project illustrates a comprehensive framework for analysing clinical trial data with minimal code in R using a variety of statistical methods and metrics, as well as various data visualisations.

    1

  3. Environmental-Economics-and-ESG-Analytics Environmental-Economics-and-ESG-Analytics Public

    Academic repository of Environmental Economics booklets with reproducible R code, covering cost–benefit analysis under risk (sensitivity and Monte Carlo), ecosystem services valuation, revealed-pre…

    R 1

  4. Business-Analytics-Portfolios Business-Analytics-Portfolios Public

    A collection of short, reproducible quantitative analytics booklets in Python and R - covering EDA, time-series forecasting, machine learning, and quantum computing.

    Python

  5. 59alireza59 59alireza59 Public

    My personal repository.