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LaboNapitupulu/README.md

Header Professional

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🔭 Overview

Hello! I am Labo John Noel Napitupulu, a 6th-semester Data Science student at the Sumatra Institute of Technology (ITERA). My primary focus is extracting meaningful patterns from large-scale data and building intelligent, solution-driven models.

  • Current Role: Functional Programming Laboratory Assistant.
  • Research Focus: Implementing Machine Learning algorithms from scratch to cultivate a profound fundamental understanding.
  • Activities: Actively contributing to the Data Science Student Association (HMSD) Adyatama ITERA.

🚀 Technical Expertise

Languages & Tools

 Data Mining & ML

📂 Featured Data Voyages

  • Spotify Odyssey: Interactive Streaming Dashboard

    • Description: A real-time analytics platform visualizing historical Spotify data leveraging an End-to-End ETL pipeline and Advanced Web Fetching techniques.
    • Tech Stack: Python, FastAPI, Streamlit, Pandas, SQLAlchemy, PostgreSQL

  • SDG 8 Global Trade Pipeline

    • Description: A full-stack data engineering pipeline and interactive dashboard analyzing global commodity trade statistics to support UN Sustainable Development Goal 8, utilizing the Medallion Architecture.
    • Tech Stack: Python, Apache Spark, Pandas, Flask, SQLite, React, Vite

  • Dog Emotion Classifier

    • Description: A deep learning application designed to classify dog breeds and emotions from images utilizing Convolutional Neural Networks (CNN) and object detection models.
    • Tech Stack: Python, TensorFlow, Ultralytics (YOLOv8), OpenCV, Flask, Scikit-Learn

  • Telecom Churn Predictive Analysis

    • Description: A predictive pipeline for customer retention strategies, forecasting customer churn probabilities through various supervised machine learning algorithms.
    • Tech Stack: Python, Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn, SHAP

📊 GitHub Analytics

Top Languages

GitHub Streak

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📫 Connect With Me

I am always open to professional discussions regarding algorithm exploration, Machine Learning model optimization, or comprehensive data processing projects.

Email Labo

"In God we trust, all others must bring data." — W. Edwards Deming

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  1. Spotify-Odyssey Spotify-Odyssey Public

    A lightweight, real-time dashboard to track and visualize my personal Spotify listening history. Built with FastAPI, SQLite, and Vanilla JS.

    Python

  2. Dog_Classifier Dog_Classifier Public

    A dual-engine AI web app utilizing YOLOv8, MobileNetV2, and EfficientNetB3 for real-time multi-dog breed and emotion recognition.

    Python

  3. sdg8-global-trade-pipeline sdg8-global-trade-pipeline Public

    A full-stack data engineering pipeline & interactive dashboard analyzing global commodity trade (1990-present) to support UN SDG 8. Built with React, Flask, and Pandas.

    JavaScript

  4. Breast-Cancer-Detection-Decision-Tree-Scratch Breast-Cancer-Detection-Decision-Tree-Scratch Public

    A Decision Tree classification model built from scratch to diagnose breast cancer as Benign or Malignant using Fine Needle Aspirate (FNA) digital image features.

    Jupyter Notebook

  5. Telecom-Churn-Predictive-Analysis Telecom-Churn-Predictive-Analysis Public

    End-to-end Machine Learning pipeline to predict telecom customer churn and provide data-driven retention strategies.

    Jupyter Notebook