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evelinesurbakti/README.md

Hello there, nice to see you πŸ‘‹

A data analyst based in Dublin, Ireland.

Let's harness the ever-expanding world of data, and turn it into actionable insights.

Β Β  Β Β 

πŸ“« You can reach me: evelinesurbakti@gmail.com

πŸ“ƒ My Resume

Education & Experience

  • πŸ‘¨β€πŸ’» Data Analyst
    πŸ“† 2022 - Present
    πŸ“ Autodesk - Dublin, Ireland

  • πŸ‘¨β€πŸ’» Research Project Lead
    πŸ“† 2021 - 2022
    πŸ“ Data Sciences - Dublin, Ireland

  • πŸ“– MSc in Data and Computational Science
    πŸ“† 2019 - 2020
    πŸ“ University College Dublin - Dublin, Ireland

  • πŸ‘¨β€πŸ’» Business Analyst
    πŸ“† 2016 - 2019
    πŸ“ Bank Central Asia - Jakarta, Indonesia

  • πŸ“– BSc in Industrial Engineering
    πŸ“† 2012 - 2016
    πŸ“ President University - Bekasi, Indonesia

Pinned

  1. Optimizing-Retail-Strategy-based-on-the-Pattern-of-Products-in-Groceries-Transactions Optimizing-Retail-Strategy-based-on-the-Pattern-of-Products-in-Groceries-Transactions Public

    What kind of relationship of product that we have in the UK and Ireland wholesalers? How can that information be used to help business decisions making? You can find the answers in this repo.

    Jupyter Notebook 2 3

  2. Automated-Keywords-Extraction-of-Data-Analyst-Job-Descriptions-from-Indeed-using-NLP Automated-Keywords-Extraction-of-Data-Analyst-Job-Descriptions-from-Indeed-using-NLP Public

    Scraped job description and leveraged the concepts of Natural Language Processing (NLP) and GloVe Algorithm to extract the keywords through data and performed analysis. Presenting the vital keyword…

    R 19 2

  3. Satellite-Images-Prediction-with-Random-Forests-and-Multinomial-Logistic-Regression Satellite-Images-Prediction-with-Random-Forests-and-Multinomial-Logistic-Regression Public

    Developed a random forest model to predict satellite images with 91.4% accuracy and 0.02% standard deviation of accuracies for all replications.

    1

  4. Machine-Learning-and-AI Machine-Learning-and-AI Public

    3 Capstone Projects: Predicting Daily Activities and Sports Project, Predicting the Amount of Active Ingredient of Pharmaceutical Tablets Data, and Predicting handwritten Digits from the USPS.

    R 1