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  • 12:09 (UTC +08:00)

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MackyKavinsky/README.md

Hey there! 👋 My name is Mac (Mackykavinsky)

I graduated as Data Science student. Exploring new things or how things work excite me the most especially about AI. Still in learning process in coding and love to contribute more to the GitHub Community with my codes.

  • 🔭 I’m currently Senior Data Analyst in the most preferred Convenience Store in Malaysia
  • 🔭 Previously Data Scientist at the No.1 PayTV service in Malaysia and part of the team that launch first-ever Addressable Advertising in South East Asia.
  • 🌱 Experienced in using powerful tools to visualize data, such as Tableau, Holistics, PowerBI, IBM Cognos and TIBCO Spotfire. Experienced in using SQL, Python, and R language for data visualization, data manipulation, cleaning and scraping data.
  • 💬 Looking forward to join as full time candidate in Data Science area company.
  • ⚡ Fun fact: Python was NOT named after a snake.

Thank you and nice to meet you! </>

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  1. SWAT-Analytic-Basic SWAT-Analytic-Basic Public

    A business intelligence application that I built for client. This application is targeted to user with no statistical background.

    R 1

  2. FYP-Sentiment-Analysis-on-LGBT-Community-in-Malaysia FYP-Sentiment-Analysis-on-LGBT-Community-in-Malaysia Public

    This is my final year project where I collect the data and clean the data. These codes are mainly for clean the dataset.

    Jupyter Notebook 1

  3. Genetic-Algorithm-Password-Cracking Genetic-Algorithm-Password-Cracking Public

    This is a pre-defined password, which will be cracked using Genetic Algorithm. This codes is only for educational purposes to show how the genetic algorithm work.

    Python

  4. Steam-web-scrapper Steam-web-scrapper Public

    This web scrapper is intended to scrape the Review data from Steam website.

    Python

  5. PSO-Nqueen PSO-Nqueen Public

    The Particle Swarm Algorithm is used to tackle the N-Queen Problem by using JAVA. This is a simpler version of PSO for N-queen problem.

    Java

  6. Regression-Formulation Regression-Formulation Public

    To find how much clicks that we could get based on the marketing spending?

    Jupyter Notebook