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luthfiraditya/README.md

Luthfi Raditya Meza


Data Enthusiast


Portfolio🌐

About 👋

📫 I'm a Data Scientist with a passion for using business, data, and technology to create something that positively impacts society. I have a deep specialization in constructing machine learning models, which makes me a T-shaped individual. I blog about AI/ML/Data Science and my personal experience. Outside of work, I enjoy sports, reading non-fiction, and binge-watching! I am enthusiastically looking forward to contribute to open source projects through Github.

  • 🔭 I’m currently looking for a job
  • 🌱 I’m currently learning something new in machine learning/AI.
  • 👯 I’m looking to collaborate on Open source Projects
  • 📝 I regularly write articles on my Medium
  • 💬 Ask me about Anything.

💻 Languages and Tools: 🛠️

Git GitHub Visual Studio Code Jupyter Python R Tableau Excel Heroku mlfLow GCP Mysql HTML CSS

🧐 Knowledge of:

Recommendation System, GIS, DevOps, Graph Neural Network, Data Science & Analytics,data structures and algorithms, Object-Oriented Programming.

📝 Latest Blog Posts


📈 GitHub Stats


Martin's GitHub Stats

Pinned

  1. Ecommerce-Recommendation-System Ecommerce-Recommendation-System Public

    I built recommender systems for recommending products to user using Model-based recommendation system.

    Jupyter Notebook

  2. Uber-vs-Green-Cabs-Trip-in-New-York-City Uber-vs-Green-Cabs-Trip-in-New-York-City Public

    Analyzing the performance of Green Cabs and Uber Taxi through visual analysis of passenger trips using Green Cabs and Uber Taxi from January to June in 2015 in the New York City area.

    Jupyter Notebook

  3. Market-Basket-Analysis Market-Basket-Analysis Public

    Identified and analyzed 32+ millions row data product for customer order prediction. Create visualization on jupyter using seaborn and matplotlib an dashboard in tableau.

    Jupyter Notebook

  4. Attrition-Turnover-Prediction Attrition-Turnover-Prediction Public

    Conducted analysis and predictions related to turnover on employee data in a company.

    Jupyter Notebook

  5. Location-Recomendation-for-Retail Location-Recomendation-for-Retail Public

    Build location recommendations for retailers who want to open offline stores.

    Jupyter Notebook

  6. Herd-Immunity-Prediction Herd-Immunity-Prediction Public

    Create model to predict the herd immunity based on vaccines rate in Indonesia.

    Jupyter Notebook