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JinnOppa/README.md

Hi there! πŸ‘‹ I'm Jin

I'm an international university student passionate about data analytics, data science, and business analytics. I love working with data, from preprocessing and cleansing to advanced analysis and visualization. My goal is to extract meaningful insights and drive data-informed decision-making.

πŸ”­ Skills and Tools:

  • πŸ“š Programming Languages

    Python R C C++ Java Rust Solidity Markdown

  • πŸ—„οΈ Database Management

    MySQL SQLLite MicrosoftSQLServer DBeaver

  • πŸ“Š Data Visualization

    Power BI RStudio VisualStudioCode Tableau

  • πŸ› οΈ Data Analytics Tools & Library

    SAS Viya SAS Enterprise Miner Pandas numpy plotly Matplotlib Streamlit

  • πŸ’» Integrated Development Environments (IDEs)

    VisualStudio VisualStudioCode IntelliJ IDEA Notepad++ Office Colab

🌱 Interests:

My areas of interest include exploratory data analysis, machine learning, statistical modeling, and data-driven business strategies. I'm constantly learning and exploring new techniques, algorithms, and tools to enhance my skills and broaden my knowledge in the field of data analytics.

πŸ“‚ Personal Data Analysis & Data Science Projects:

  • MedInsight: Leveraging machine learning algorithms to predict disease risks and hospitalization outcomes, by developing models to forecast occurrences of diseases, survival rates, surgery risks, hospitalization costs, and admission durations, in order to assist healthcare providers in improving patient care, optimizing resource allocation, and addressing the healthcare challenges in Indonesia.
  • Entertainment Software Rating Board 2016 Analysis: Analyze 'ICE' Online Game Store historical data to understand user preferences, predict market trends, identify promising games, unearth sales trends and determinants of success in the gaming industry.
  • Airbnb Analysis: Analyzing Airbnb booking data using Python Jupyter Notebook and Power BI, performing exploratory data analysis, data cleaning, and correlation analysis, to gain insights from the obtained dataset from Kaggle and presenting them through Power BI dashboard.
  • Hotel Booking Analysis: Perform exploratory data analysis (EDA) on a hotel booking dataset to uncover valuable insights into bookings, cancellations, customer behavior, pricing, and room types through Python Jupyter Notebook.

πŸ“« Connect with Me:

If you have any questions, ideas, or opportunities you'd like to discuss, feel free to reach out to me. I'm always open to collaborations and exchanging insights with fellow data enthusiasts.

You can connect with me via:

Gmail LinkedIn

I'm excited to share my data projects, contribute to open-source initiatives, and collaborate with like-minded individuals in the data analytics community. Let's leverage the power of data to make informed decisions and drive impactful outcomes!

Happy exploring! πŸš€

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  1. TripleTen-Projects TripleTen-Projects Public

    Data science and machine learning projects portfolio during the TripleTen Data Scientist Bootcamp, solving real-world business challenges with exploratory data analysis, feature engineering, and pr…

    Jupyter Notebook

  2. MedInsight MedInsight Public

    MedInsight is a web app that predicts disease risks and hospitalization outcomes, helping healthcare providers make data-driven decisions to improve patient care and optimize resources.

    Jupyter Notebook

  3. Data-Analysis-Portfolio Data-Analysis-Portfolio Public

    Jupyter Notebook

  4. MediScroll MediScroll Public

    JavaScript