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BrianLoe/README.md

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Hi There 👋

A little bit about myself

My name is Brian, I graduated with a Bachelor of IT majoring in Data Science. I love to create programs and am committed to learning new tech. I specialise in building ETL/data pipelines and building ML models.

Skilled in Deep Learning Frameworks (Stack: NLP-models, Embeddings, Ensemble, Transformers, Sk-Learn, Keras, PyTorch), databases: PostgreSQL, MySQL, Oracle, MongoDB, familiarity with AWS, GCP. These are limited stacks that I am currently skilled at but interested to learn more! I am seeking entry-level roles in data engineer, scientist, and analyst opportunities in Sydney.

Please check out my project repositories below! 😃

  • 🔭 Passionate about data and engineering! I highly value a user-centric approach when developing products. This allows me to create a product that is beneficial to the customers and the business.
  • 🌱 I'm learning data engineering concepts and deep learning techniques. I also love to learn about statistical techniques and concepts for data analysis and mining. Currently I took an interest in web development + building the data pipeline for it.
  • 📫 You can reach me on: brianloe7@gmail.com or LinkedIn

Programming Languages and Tools:

python pandas seaborn scikit_learn tensorflow pytorch mysql postgresql

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  1. LLM_OpenAI LLM_OpenAI Public

    Learning resources for building web application using LLM

    Python 1

  2. ETL-and-DataViz ETL-and-DataViz Public

    Creating visualisations to better understand data

    Jupyter Notebook 1

  3. ChurnPrediction ChurnPrediction Public

    Experiment with machine learning classification model with hyperparameter tuning. This project is about classifying customers churn for future use based on features (selected by feature engineering).

    Jupyter Notebook 1

  4. webscraping webscraping Public

    Programming projects using webscraping frameworks written in Python

    Python

  5. NLP NLP Public

    Natural Language Processing (NLP) application for various tasks

    Jupyter Notebook

  6. app_pipeline_scripts app_pipeline_scripts Public

    Scripts for fetching data. Experimentation on creating embeddings and building vector DB using FAISS

    Jupyter Notebook