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keiziapurba/README.md

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About Me

I am an enthusiastic data science explorer with a strong commitment to professional growth. With a fervent curiosity, I embark on exciting expeditions into the realms of Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Visualization, Predictive Analytics, and a multitude of other captivating disciplines. By immersing myself in a perpetual learning journey, I strive to remain at the forefront of emerging techniques and methodologies. My primary objective is to uncover valuable insights from data and facilitate informed decision-making processes. With a relentless pursuit of knowledge, I continuously expand my skill set to derive meaningful information that empowers organizations to thrive in today's data-centric landscape.

  • 🌍 I'm based in Indonesia
  • ✉️ You can contact me at [email protected]
  • 🧠 I'm learning Web Scraping, Machine Learning, Deep Learning with Python
  • 🤝 I'm open to collaborating on open source projects.

Skills

Python MySQL PostgreSQL

Socials

My GitHub Stats

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Top Languages

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  1. Toxic-Comment-Classification Toxic-Comment-Classification Public

    Containing a deep learning model that classifies comments as toxic or non-toxic, enabling the identification of offensive or harmful language in online conversations.

    Jupyter Notebook 1

  2. YouTube-Text-Data-Analysis YouTube-Text-Data-Analysis Public

    A YouTube text data analysis case study that contains sentiment analysis, emoji analysis, likes vs views analysis, and trending videos text on YouTube

    Jupyter Notebook 1

  3. Health-Insurance-Cross-Sell-Prediction Health-Insurance-Cross-Sell-Prediction Public

    Predicting whether a customer who already own Health Insurance would be interested in subscribing Vehicle Insurance so that the company can plan the effective approach to reach out the customers an…

    Jupyter Notebook 1 1

  4. Stock-Market-Time-Series-Analysis Stock-Market-Time-Series-Analysis Public

    Analyze big tech company's (Amazon, Google, Apple and Microsoft) stock market and their correlation whether are affecting their price and daily returns or not (using data from 2013/4 to 2018)

    Jupyter Notebook 1

  5. Data-Analysis-and-Viz-Telco-Customer-Churn Data-Analysis-and-Viz-Telco-Customer-Churn Public

    Describes customer behavior and profiles of Telco companies that are used to analyze and predict customer retention.

    Jupyter Notebook 1

  6. Gender_Inequality-Index-TETRIS-Capstone-Project Gender_Inequality-Index-TETRIS-Capstone-Project Public

    Jupyter Notebook