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khoa9/README.md

Hi 👋, I'm Dang Khoa Tran

  • MS in Information Systems at Georgia State University

  • Passionate about the Data World

⚡ Things I like to do

  • Learning new data technologies

  • Working on optimizing data infrastructure

  • Building data-related products

💥 Things I specialize at

  • Integrate data from multiple sources to build Business Intelligence dashboards.

  • Build optimized SQL/ NoSQL queries

  • Build AI models for the entertainment industry, specifically sports, music, and movies.

🍎 I'm currently learning

  • Data Engineer, Cloud Engineer, Database Infrastructure

  • AWS, Azure, GCP, Golang

I have worked on projects that use

  • Python, SQL, R, Natural Language Processing, Convolutional Neural Network, Classification Model, Prediction Model

📫 Connect with me:

dang-khoa-tran

Languages and Tools:

cassandra docker gcp kubernetes linux mongodb mssql mysql oracle pandas postgresql python pytorch redis scikit_learn seaborn sqlite tensorflow

Popular repositories

  1. Arrested_Prediction_in_San_Diego_CA Arrested_Prediction_in_San_Diego_CA Public

    Simple Classification Project to learn the causes and effect of a social problem.

    Jupyter Notebook

  2. Fake_News_Detection Fake_News_Detection Public

    This is an NLP project built to identify news articles as "fake" or "real" based on their titles and contents.

    Jupyter Notebook

  3. Intelligent-Image-Recommendation-System Intelligent-Image-Recommendation-System Public

    Project utilizing FlickrAPI to train CNN Classification model to classify natural scenes.

    R

  4. khoa9 khoa9 Public

    My personal repository

  5. Stock-Data-Analysis Stock-Data-Analysis Public

    This project analyzes the price of 13 indexes and suggests some of them for long-time investments based on volatility and profitability.

    HTML

  6. Tropical_Clone_Damage_Assessment Tropical_Clone_Damage_Assessment Public

    This project utilizes YOLO framework to build an AI model that can classify between undamaged/damaged residential and commercial buildings in order to help the community recover after the disaster.…

    Jupyter Notebook