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Khangtran94/README.md

Hello, I'm Khang from Vietnam

I am a quick learner and highly motivated, eager to leverage my skills and passion for data to make meaningful contributions in a Data Science career.

  • I am a highly skilled CAE Engineer with over 8 years of experience at a respected Japanese company, strong foundation in numerical analysis and problem-solving.

    • BUT THEN ..... My passion for data-driven decision-making led me to explore Data Science, where I earned 3 key certifications on DataCamp within a year.

      • My engineering background provides a strong foundation in numerical analysis and problem-solving, which complements my newly acquired data analysis skills.

  • Transitioned to IT & Systems Engineer (Mar 2023), administering APV’s SharePoint and ensuring robust document management.

    • Solely managed end-to-end data lifecycle: extraction, transformation, reporting, and BI delivery.
    • Automated data sync between Kintone and internal systems using Python and APIs.
    • Designed and implemented Nintex approval workflows integrated with SharePoint.
    • Delivered the company’s first salary-based project cost tracking system in TeamSpirit (Salesforce).

  • Continuously advancing skills in Data Engineering and Data Science through certifications and hands-on projects.

  • Highlighted Certifications:

    • PL-300: Power BI Data Analyst Associate | Microsoft | August 2025
    image * DP-600: Fabric Analytics Engineer Associate | Microsoft | August 2025 image * DP-700: Fabric Data Engineer Associate | Microsoft | June 2025 image * Data Engineering Bootcamp Certificate Completion | DataExpert.io | August 2025 image
    • Data Scientist Professional Certification | DataCamp | September 2023 Untitled
    • Data Engineer Associate Certification | DataCamp | September 2023 Untitled
    • SQL Associate Certification | DataCamp | September 2023 Untitled
    • SQL (Advanced) | HackerRank | August 2025
    image * Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential | Coursera | May 2020 ![image](https://github.com/Khangtran94/Khangtran94/assets/146164801/25f174a9-bc4b-4639-bb07-cef524fa5483)

  • 📫 How to reach me tranhoangngockhang1994@gmail.com

Connect with me:

khang-tran-94-vn/ khangtran94vn tranhoangngockh1 khangtran94 tranhoangngockhang1994

Languages and Tools:

pandas postgresql python pytorch scikit_learn seaborn

Pinned Loading

  1. Data_Analysis_of_Nobel_Prize_Winners Data_Analysis_of_Nobel_Prize_Winners Public

    Explore and create some useful information related to Nobel Prize Winners data.

    Python

  2. Find_Movie_Similarity Find_Movie_Similarity Public

    Quantify the similarity of movies based on their plot summaries available on IMDb and Wikipedia, then separate them into groups, also known as clusters. Create a dendrogram to represent how closely…

    Python 2

  3. ml-interviews-book ml-interviews-book Public

    Forked from chiphuyen/ml-interviews-book

    https://huyenchip.com/ml-interviews-book/

    HTML

  4. Mobile_Games_AB_Testing_with_Cookie_Cats Mobile_Games_AB_Testing_with_Cookie_Cats Public

    Conduct an A/B test in Cookie Cats, evaluating the optimal placement of encounter gates (forcing wait times or in-app purchases) and their impact on player retention.

    Jupyter Notebook

  5. Recipe_Site_Traffic_Prediction Recipe_Site_Traffic_Prediction Public

    Using machine learning techniques, predict high-traffic recipes on a recipe website. These predictions will assist the website's product manager in making data-driven decisions to enhance user enga…

    Jupyter Notebook

  6. Predicting_Movie_Rental_Duration Predicting_Movie_Rental_Duration Public

    Using Machine Learning techniques to predict the number of days a customer will rent a DVD for. The model will help the company become more efficient inventory planning.

    Python