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nealsonS/README.md

Hi, I'm Nealson! 👋

I'm a graduate student in USC's M.S Applied Data Science Program and I graduated with a B.S in Statistics & Data Science from UCSB.

In the past, I have worked on projects in Computer vision, Recommender Systems, Distributed Data Mining, Database Management Systems, Natural Language Processing, Time Series Analysis and Forecasting, and dimension reduction techniques.

Currently working on:

  • LLM Text Compressor
  • Multimodal emotion detection using speech, text, and audio
  • (Research): Truck behavior analysis using object tracking and detection algorithms

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  1. CatDB CatDB Public

    CatDB is a fully implemented Database management system with a query language in the perspective of a cat demanding actions and items from the system.

    Python

  2. FrostNASAClassifier FrostNASAClassifier Public

    Frost Classification by Finetuning PreTrained models on NASA satellite images

    Jupyter Notebook

  3. SentimentAmazon SentimentAmazon Public

    Sentimental Analysis to classify Amazon reviews and its sentiment (positive/neutral/negative), full of graphics!

    HTML

  4. MultimodalEmotion MultimodalEmotion Public

    Hello! This project is to build a multimodal emotion detection system. It's an excuse to explore multimodal ML systems.

    Jupyter Notebook

  5. SparkDataMining SparkDataMining Public

    Spark Data Mining assignments for my Data Mining class at USC

    Python

  6. EarthquakeForecasting EarthquakeForecasting Public

    Time Series Forecasting and Analysis on Indonesian Earthquake's Magnitude to forecast my hometown's next month's highest earthquake.

    HTML