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followers: 3.0 following: 3.0 repos: 12.0 gists: 0.0

Name: Ginanjar Saputra

Type: User

Bio: Metallurgical Engineer; Data Science and Analytics Enthusiast

Location: Tangerang, Indonesia

Blog: ginsaputra.medium.com

👋 Selamat datang!

Hello, I'm Ginanjar. My fascination towards data science brought me here to GitHub. I'm a metallurgical engineer by trade and have been working in the manufacturing industry for the past couple of years. I'm always eager to learn and improve my skills in transforming data into meaningful insights, awesome predictions, and pretty visualizations.

Here are the languages and tools that I use for my data projects:

When not cleansing data or tuning models, I'm probably nose-deep in a book, or binging tearjerking K-dramas, or desperately pushing rank on Mobile Legends.

Ginanjar Saputra's Projects

applied-data-science-capstone

Capstone project submission for the "IBM Data Science" Professional Certificate on Coursera

casting-defect-inspection-cnn

Building a CNN model with Keras & TensorFlow to classify images of defective and non-defective casting products

coursera-tools-for-data-science

Hands-on lab assignment for the course "Tools for Data Science" on Coursera: Week 2, Git and GitHub via Command Line

customer-churn-prediction

dqlab-python-data-analyst

Course assignments and applied projects completed for the "Data Analyst Python" career track in DQLab.id

fun-with-data

A collection of projects I did for fun using interesting datasets

gangue-forecast-in-flotation-concentrate

ginsaputra

google-data-analytics-capstone

Capstone project submission for the "Google Data Analytics" Professional Certificate on Coursera

hello-github

Creating my first repository on GitHub. Hands-on assignment for the course "Tool for Data Science" on Coursera: Week 2, Lab 1

ibm-data-science-assignments

A collection of course assignments submitted for "IBM Data Science" Professional Certificate on Coursera

python-web-scraping-goodreads

Web scraping Goodreads.com and performing an exploratory data analysis of the "Best Books of the 21st Century"

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