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Learning Every Day
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quantgirluk/README.md

Hello world ✨ I'm Dialid

This year, I will use the countdown to Christmas πŸŽ„ to review 24 stochastic processes! Checkout the details here:

I am a mathematician working as a Quantitative Analyst at an investment bank in London. In my free time, I create open source projects and write about financial mathematics, programming, statistics, data visualisation, and other related topics.

Currently, I am:

  • πŸ”­ working as front office quantitative strategist
  • πŸ–₯ coding in Python 🐍 and C++ using both Pycharm and VSCode
  • ✨ writing this series of notes about topics in Financial Mathematics: UQF: Understanding Quantitative Finance
  • πŸ–‹οΈ writing a Cookbook about Data Visualisation with Plotly and Dash.
  • πŸ“š reading Possible Minds: 25 Ways of Looking at AI
  • πŸ“Ί not watching anything at the moment. If you have a good tv-series, film, or documentary recommendation please let me know!

Please visit my personal site Quant Girl and connect with me via:

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  1. aleatory aleatory Public

    πŸ“¦ Python library for Stochastic Processes Simulation and Visualisation

    Python 168 17

  2. Yield-Curves-Visual Yield-Curves-Visual Public

    πŸ“ˆA dash app showing Interactive Visualisation of the Yield Curve UK and US

    Python 25 1

  3. Understanding-Quantitative-Finance Understanding-Quantitative-Finance Public

    πŸ“’ A collection of notes exploring Quantitative Finance concepts with Python

    Jupyter Notebook 57 7

  4. fanchart fanchart Public

    πŸ“¦ Python library to create Fan Charts as introduced by the Bank of England in 1996

    Python 17 2

  5. ICMM ICMM Public

    πŸ“ Introduction to Monte Carlo methods in Finance Workshop Materials

    Jupyter Notebook 17 2

  6. Quant-Girl-Blog Quant-Girl-Blog Public

    πŸ‘Ύ This repository contains files related to my personal website. Charts, Jupyter notebooks, random notes, etc.

    Jupyter Notebook 17