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  • Japan

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Achievement: QuickdrawAchievement: Pull Shark

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lethuyngocan/README.md

👋 Hi, I’m @Ann and Welcome to my Github Profile

  • Currently, I am pursuing a PhD program in the field of Management of Technology .
  • I am data professional with a strong focus on Data Collection and Consolidation, Data Assessment and Processing, Data modeling, Data Analysis and visualization, and Insight communication.
  • I am deeply passionate about using technology and data to solve intricate problems and thrive on assisting businesses in extracting valuable insights from their data.

🛠️Tools:

  • Python: NumPy, Pandas, Matplotlib, Seaborn
  • Database: Google BigQuery, MySQL, MS Excel
  • Business Intelligence: Tableau
  • Machine Learning
  • NLP

🌌 Projects:

Click HERE to check my projects

🎓 Certificate:

👐 Connect with me:

📲 Threads:lengocthuyan

📧 Emails: [email protected]

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  1. EDA-Projects EDA-Projects Public

    I showcase 3 distinct projects that apply EDA techniques to serve diverse business objectives.

    Jupyter Notebook

  2. Machine-Learning-Projects-on-Classification-with-Python Machine-Learning-Projects-on-Classification-with-Python Public

    In this resource, I will guide you through various projects where I employ diverse Classification Algorithms in Machine Learning to tackle a range of business problems.

    Jupyter Notebook

  3. Project-Porfolio Project-Porfolio Public

    Welcome to my Project guide, where you can take a look at my projects and study documents Welcome to my project portfolio! Here, I summarize the projects I have undertaken and the diverse sources I…

  4. SQL-challenge SQL-challenge Public

    This repository provides solutions for the different case studies from the #8WeekSQLChallenge. By providing solutions, I show my ability to tackle various SQL challenges and demonstrates my profici…

  5. Japanese-Text-Similarity Japanese-Text-Similarity Public

    I scrapped over 7000 Japanese-language reviews from an online platform and transformed them into a Pandas DataFrame. I performed preprocessing and tokenization of the Japanese text using specialize…

    Jupyter Notebook

  6. Time-Series-Forcast-Superstore-Sales Time-Series-Forcast-Superstore-Sales Public

    Using ARIMA and SARIMA time series models, I forecasted the future sales of a superstore by leveraging historical data spanning four years, from 2015 to 2018.

    Jupyter Notebook