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hienphan161/README.md

Hey there πŸ‘‹ I'm Hien Phan

About me 🌱

  • Passionate data analyst with skills in statistical analysis, data visualization, and machine learning πŸ’ͺ
  • Detail-oriented problem solver adept at spotting patterns and trends in complex data sets 🎯
  • Continuously seek opportunities to expand skill sets and stay up to date with emerging technologies in the field of data analytics 😎

I'm currently working on πŸš΄πŸ»β€β™€

  • Conducting data preprocessing and manipulation tasks using Python.
  • Employing SQL for querying and manipulating data within relational databases.
  • Creating interactive dashboards and crafting data stories using Tableau and Power BI.
  • Designing and implementing data modeling for efficient database schemas and optimizing query performance.

I’m currently learning β›³

  • Delving into PySpark to tackle large-scale datasets and enhance data processing workflows.
  • Experimenting with dbt for modern data transformation methodologies.
  • Exploring cloud-based data solutions (Oracle, Azure, AWS) to expand knowledge of data management and storage options.
  • Diving into NoSQL databases such as MongoDB and Cassandra for handling unstructured data.

Languages and tools πŸ”­

Reach me on πŸ“«

Β Β Β Β  Β Β Β Β 

Check out my repos ⬇️

Popular repositories Loading

  1. hienphan161 hienphan161 Public

    Hey πŸ‘‹, Glad to see you here! Check out this repository to learn more about me 😊.

  2. covid-data-exploration-with-sql covid-data-exploration-with-sql Public

    An in-depth SQL analysis of COVID-19 data, examining global trends, vaccination efforts, and country-specific metrics, including Vietnam's COVID-19 situation

    Jupyter Notebook

  3. layoffs-2022-data-analysis layoffs-2022-data-analysis Public

    This project cleans and explores the "Layoffs 2022" dataset from Kaggle, unveiling insights into tech industry layoffs during the year.

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  4. epl-seriea-match-analysis epl-seriea-match-analysis Public

    Analyze and model soccer matches from the English Premier League and Italian Serie A (2022-2024 seasons) to uncover trends, performance metrics, and predictive insights.

    Jupyter Notebook