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alkayyiss-ds/README.md

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About Me

Hi, I'm Muhammad Naufal Al Kayyis — a Data Scientist and ML Engineer based in Surabaya, Indonesia.

I study at EEPIS (Institut Teknologi Sepuluh Nopember Surabaya) and focus on building end-to-end machine learning systems, from raw data processing to deployment.
Role Data Scientist & ML Engineer
University EEPIS — Politeknik Elektronika Negeri Surabaya
Location Surabaya, Indonesia
Focus Machine Learning, Big Data, Data Engineering, AI Systems
Currently Building end-to-end ML pipelines and AI-powered applications
Contact alkayyiss10@gmail.com

Tech Stack

Machine Learning & AI

Python scikit-learn TensorFlow PyTorch Jupyter Optuna

Data Engineering & Big Data

Apache Spark Apache Airflow Docker Pandas NumPy

Web & Backend

FastAPI React Next.js Flask MongoDB

Databases & Statistics

PostgreSQL MySQL R SciPy Matplotlib Seaborn

GitHub Stats

  





GitHub Trophies

Featured Projects

Interview Training System   Dashboard Quality Control

Rain Prediction Aigra   Project Intelligence System

ETL Pipeline Airflow   EV Car Recommendation

Connect

LinkedIn   Gmail   GitHub

Contribution Activity

GitHub contribution snake animation

Popular repositories Loading

  1. Dashboard-Quality-Control Dashboard-Quality-Control Public

    Quality Control Manufacturing Dashboard with ML Pipeline.

    Jupyter Notebook

  2. ev-car-recomendation ev-car-recomendation Public

    Selecting the best car with recommendation system

    CSS

  3. Pyspark-vs-Sklearn Pyspark-vs-Sklearn Public

    Big Data benchmark comparing Apache Spark (PySpark) vs Scikit-learn on a 9 GB eCommerce behavior dataset, featuring a Dockerized Hadoop HDFS & Hive Metastore cluster

    Python

  4. rain-prediction-aigra rain-prediction-aigra Public

    Jupyter Notebook

  5. waste-classification-ml waste-classification-ml Public

    🗑️ Multi-class waste image classification with deep learning (Transfer Learning) — BDC 2026 competition project

    Jupyter Notebook

  6. traffic-speed-forecasting traffic-speed-forecasting Public

    🚦 Traffic speed prediction using time series analysis, feature engineering, and gradient boosting (LightGBM/XGBoost)

    Jupyter Notebook