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jamieharvey237/README.md

Hi there, I'm Jamie👋

I'm a third-year Aerospace Engineering student at the University of Manchester, keen to leverage my strong quantitative foundation to explore and solve complex problems. My approach to learning is hands-on: I build interactive Python projects to further both my coding ability and understanding of real-world mechanisms.

🔭 Areas of Interests

  • Quantitative Finance: Applying numerical methods to model financial markets, seeking to understand the drivers of critical financial metrics and models.
  • Algorithmic Trading: Backtesting and analysing systematic strategies using historical data.
  • Machine Learning: Building neural network algorithms to improve simulation efficiency against time-consuming direct numerical simulations in Combustion Chemistry.

🧠 Tech Proficiency

  • Languages: Python, MATLAB
  • Python Libraries: NumPy, SciPy, Pandas, Matplotlib, PyTorch, Scikit-learn
  • Tools: LaTeX, Jupyter Notebook, GitHub

Take a look at some of my pinned projects!

Pinned Loading

  1. Algorithmic-Trading-Backtest-Engine Algorithmic-Trading-Backtest-Engine Public

    An independent project which delves into the mechanics of algorithmic trading and backtesting. Python-based engine assessing trading strategies against 20 years of S&P500 close price data, outputti…

    Python

  2. Probabilistic-Forecasting-of-FPL-Player-Points-using-Monte-Carlo-Simulations Probabilistic-Forecasting-of-FPL-Player-Points-using-Monte-Carlo-Simulations Public

    (In Development) An introductory project exploring the Monte Carlo method of solving stochastic problems. Combines probabilistic modelling with real-world API data to predict points performance and…

    Python

  3. Multivariate-Nonlinear-Neural-Network-Regression Multivariate-Nonlinear-Neural-Network-Regression Public

    Investigation into the use of neural networks for predictions of nonlinear functions with multiple input variables and a single output. By experimenting with network width and depth, an understandi…