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alexander-zee/README.md

Alexander Zee

BSc Econometrics & Operations Research student (Quantitative Finance) at Erasmus University Rotterdam.
Focused on quantitative modelling, time series analysis, and building analytical tools for financial data.

Background

  • Econometrics & Operations Research — Erasmus School of Economics
  • Experience developing data pipelines, analytical dashboards, and automation tools in Python and R
  • Practical exposure to structured financial data, reconciliation processes, and process automation in Odoo ERP

Interests

  • Volatility modelling and time series analysis
  • Quantitative finance and derivatives
  • Data engineering and analytical tooling

Contact

  • LinkedIn:
- Email: alexanderzee11@gmail.com

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  1. Machine-Learning-Seminar Machine-Learning-Seminar Public

    Machine Learning Seminar repository

    HTML

  2. AIMO-code AIMO-code Public

    Kaggle AI Mathematical Olympiad notebook

  3. Black-Scholes-Pricer Black-Scholes-Pricer Public

    An interactive European option pricing dashboard built in Python using the Black–Scholes model with continuous dividend yield.

    Python

  4. volscope volscope Public

    Realized volatility analytics dashboard for financial market analysis using Python and Streamlit.

    Python

  5. ai-desktop-assistant ai-desktop-assistant Public

    A Python-based desktop assistant that interprets live screen content and provides context-aware guidance during software workflows.

    Python

  6. Portfolio-Tracker-asr Portfolio-Tracker-asr Public

    Python