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theo-obadiah-teguh/README.md

Hello Everyone! I'm Theo πŸ‘‹

  • πŸ‘¨β€πŸ”¬ I'm a MSc in Statistics student at the University of Hong Kong
  • πŸŽ“ Just graduated from a Bachelor's in Economics, Finance, and Computer Science also @HKU
  • 🌱 My main interests are Econometrics, Machine Learning, and Software Systems
  • πŸ˜„ I also love basketball πŸ€ and LEGOs 𓏠
  • πŸ“« Feel free to reach out to me via [email protected] or connect with me on LinkedIn

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  1. jadonng/QuantitativeStrategies_GlassdoorReview jadonng/QuantitativeStrategies_GlassdoorReview Public

    Quantitative alpha signal research on Glassdoor rating data with Singular Value Decomposition (SVD), Latent Dirichlet Allocation (LDA) topic modeling, and BERT-Twitter sentiment analysis.

    Jupyter Notebook

  2. NeuralNets NeuralNets Public

    Object-Oriented ResNet implementation for CIFAR-10 and tutorials for learning neural network fundamentals. Both vanilla PyTorch training loops and PyTorch Lightning are used.

    Jupyter Notebook

  3. MorningStar MorningStar Public

    An ETL pipeline designed specifically to handle Morningstar deliverables. Utilizes 'iterparse' ElementTree, comparable to SAX Parsing, and AWS RDS MySQL.

    Python

  4. CousCous CousCous Public

    A comprehensive guide to applied econometrics and causal inference in R. Discusses Randomized Controlled Trials, Instrumental Variables, Regression Discontinuity Design, and Difference-in-Differences.

    HTML

  5. BigTwo BigTwo Public

    A multiplayer big two card game, implemented with a Java backend and a Swing GUI. Project for the course COMP2396 Object-Oriented Programming and Java by the University of Hong Kong.

    Java

  6. MiniTest MiniTest Public

    Automated C/C++ testing and compiling with Bash. Useful for small-scale tasks and daily workflows.

    Shell