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MelindaDong/README.md

Hello, I'm Melinda Dong

About Me

I am a passionate junior data scientist with a strong foundation in machine learning, statistics, and data analysis. My curiosity and drive to solve complex problems using data have led me to explore various data science domains, including natural language processing, computer vision, and predictive modeling.

Education

  • Master Degree in Data science, University of Adelaide
  • Bachelor Degree in Public administration, Wuhan University of science and technology

Technical Skills

  • Programming: Python, R, Julia
  • Data Manipulation: SQL
  • Data Visualization: Matplotlib, Seaborn, Plotly
  • Machine Learning: Regression, Classification, Clustering, Time Series Analysis, Natural language processing
  • Tools: Jupyter Notebook, Git, GitHub
  • Cloud: AWS

Contact Me

I'm open to collaboration, job opportunities, and discussing exciting data science projects. You can reach me through the following channels:

Let's Connect

If you share similar interests in data science, machine learning, or AI, I'd love to connect with you. Feel free to follow me or send a connection request!

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  1. Condensed-Paper Condensed-Paper Public

    generate a structured paper summary with graphs

    Jupyter Notebook 1

  2. ABSA_restaurant_review ABSA_restaurant_review Public

    Aspect-based sentiment analysis(mainly using syntactic parsing) on restaurant reviews.

    Jupyter Notebook

  3. CNN_overview CNN_overview Public

    Classic CIFAR10 image classification with different CNN approaches.

    Jupyter Notebook

  4. RNNs_StockPrediction RNNs_StockPrediction Public

    Stock prediction with different RNN approaches.

    Jupyter Notebook

  5. Path-finding Path-finding Public

    BFS / UCS / A* Search / Pathfinding by direct optimisation (simulated annealing)

    Python 2

  6. Robot-localization Robot-localization Public

    Robot-localization with Viterbi algorithm in 2D and 3D maps

    Python 1