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martin-he543/README.md

Hi there 👋

Business Analytics Student | Physics Enthusiast | ML Enthusiast

I am a second-year Business Analytics and Finance student at Bayes Business School, bridging the gap between the mathematical rigour of a Theoretical Physics foundation from Imperial College London and advanced predictive modelling.

🚀 A Supercut: What I’ve Worked On

  • NLP & Semantic Search: Developed a vector-based search engine using BERT, FastAPI, and Docker during my internship at Perforce Software.
  • Multi-modal AI: Building a recommendation system for Spotify using PyTorch to process audio previews, lyrics, and album art via CNNs and Transformers.
  • FinTech & Trading: Explored arbitrage, market-making, and market movement prediction using generational neural networks during the Optiver "Ready, Trader, Go" competition.
  • Social Impact: Co-founded Altruist, the "Bloomberg Terminal for Charities," winning the Innovate Hackathon with a responsive React/Firebase architecture.

🛠 Tech Stack

  • Languages: Python (PyTorch, TensorFlow, Scikit-Learn, Pandas), R, SQL (PostgreSQL, MongoDB), JavaScript (React, TypeScript), Rust.
  • Tools: Docker, Git, Power BI, Tableau, $\LaTeX$, EViews, FastAPI.
  • Specialties: Financial Econometrics, Computer Vision (OpenCV), Supervised/Unsupervised ML, Deep Learning.

🏆 Achievements

  • Winner, Bayes Business Analytics Data Olympics 2025.
  • Bayes Academic Scholarship (awarded to the top 10%).
  • Creator of Royana Font, which has reached 10,000+ downloads and is used globally in commercial packaging and books.

🍱 Beyond the Code

  • 🎹 Musician: I enjoy playing the piano, as well as composing, transcribing, and organising events.
  • 🚴 Not Just Academics: I'm into long-distance cycling, running, and hitting the gym. Also basketball
  • 🌍 Polyglot: I’m a native English speaker, advanced in French (C1) and Chinese (HSK 5), and currently learning Japanese (N3), Italian (B1), Spanish (A2), Norwegian (A1), Dutch (A1), Latin (> GCSE), and Ancient Greek (> GCSE).

📫 Let's Connect!

  • Location: Surbiton, Greater London, UK
  • E-mail: Please contact me on socials for further information.

Pinned Loading

  1. novozymes-enzyme-stability-prediction-kaggle-2022 novozymes-enzyme-stability-prediction-kaggle-2022 Public

    The Kaggle team for the Novozymes Enzyme Stability Prediction Machine Learning Hackathon, 2022. Run through Kaggle.

    Jupyter Notebook 8 1

  2. classics-cheat-sheets classics-cheat-sheets Public

    Summary grammar and modified DVLs for OCR's Classical Greek (9-1), Latin (9-1) GCSEs, from the 2016 syllabi. Used as part of educational resources in Tiffin School and the Kingston Academy.

    3

  3. python-machine-learning python-machine-learning Public

    Machine Learning (ML) in Python.

    Jupyter Notebook 3

  4. spotify_x411k spotify_x411k Public

    Building a recommendation system based on Spotify data, augmented with MP3 30-second previews, album art, and lyrics. Employed PyTorch to create CNN-based, and transformer-based models.

    Jupyter Notebook 1