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fathiryasyaa/README.md

FATHIRYASYAA ACHMAD ZUMAR

Informatics student at Universitas Gunadarma with a developing focus on data science and data analysis.

I am interested in using data to understand patterns, communicate insights, and support better decision-making. My current learning focuses on exploratory data analysis, data cleaning, visualization, statistical analysis, and the fundamentals of machine learning.

I build projects to strengthen both my technical skills and my understanding of how data can be transformed into clear, useful, and practical insights.

Areas of Interest

  • Data analysis
  • Data science
  • Exploratory data analysis
  • Data cleaning and preprocessing
  • Data visualization
  • Statistical analysis
  • Machine learning

Technical Skills

Python Pandas NumPy Scikit-learn TensorFlow Jupyter Flask Streamlit

Selected Projects

Data Science and Data Analysis

  • Hotel Booking Cancellation Prediction
    A data science project that analyzes hotel booking data and compares several classification models, including Logistic Regression, KNN, SVM, Random Forest, and XGBoost.

  • Jakarta House Price Prediction
    A machine learning project for predicting house prices in Jakarta using data preprocessing, exploratory analysis, Random Forest, and Flask deployment.

  • Student Score Prediction
    A regression project that uses academic and psychological factors to predict student scores.

Machine Learning Applications

  • Hotel Booking Cancellation Prediction Web App
    A web application that combines a hotel booking system with a machine learning model for cancellation prediction.

  • MLOps Project
    An end-to-end MLOps project for Superstore profitability classification using TFX, TensorFlow Serving, and Prometheus.

Other Projects

  • Image Generation Pipeline
    An image generation pipeline using Stable Diffusion with support for text-to-image generation, inpainting, outpainting, and a Streamlit interface.

Currently Learning

  • Data analysis and exploratory data analysis
  • Data cleaning and preparation
  • Data visualization and storytelling
  • Statistical analysis
  • Machine learning fundamentals and model evaluation
  • Building practical data-driven applications

Connect with Me

Popular repositories Loading

  1. student-score-prediction student-score-prediction Public

    Simple Linear Regression model for student score prediction based on academic and psychological factors. Personal machine learning project.

    Jupyter Notebook 2

  2. hotel-booking-cancellation-prediction hotel-booking-cancellation-prediction Public

    Hotel booking cancellation prediction model using machine learning (Logistic Regression, KNN, SVM, Random Forest, XGBoost) based on CRISP-DM methodology. Final project for Devlaunch Bootcamp.

    Jupyter Notebook 2

  3. ml-house-price-prediction-jakarta ml-house-price-prediction-jakarta Public

    Machine learning model for predicting Jakarta house prices using Random Forest and Flask web deployment. Personal end-to-end data project.

    Jupyter Notebook 2

  4. MLOps-project MLOps-project Public

    End-to-end MLOps pipeline for Superstore Profitability Classification built with TensorFlow Extended (TFX), TF Serving, and Prometheus. Submission project for Dicoding MLOps course.

    Jupyter Notebook 1

  5. image-generation-pipeline image-generation-pipeline Public

    Image generation and editing pipeline using Stable Diffusion — text-to-image, inpainting, outpainting, and an interactive Streamlit interface. Dicoding Generative AI submission.

    Jupyter Notebook 1

  6. hotel-booking-cancellation-predict-webapp hotel-booking-cancellation-predict-webapp Public

    Hotel booking system integrated with ML cancellation predictor. Built as a college web programming project.

    Jupyter Notebook 1