Okza Pradhana's Projects
Synthetic data generator about participant's registration on DQLab hackathon event named DQThon
For Data Engineering Indonesia workshop about Git 101 for Data Engineers
The Open Source Data Science Masters
A website to help people make a book for futsal.
Bash scripts to upload files to google drive
Software Engineering Final Project
Python library for Imaging stuff
This repo contains all Indonesia's cities in GeoJSON format. You may visit http://geojson.io/ to see this geojson on map view
Job API - Get Job Opening from Linkedin (currently)
Command Line Based Tool for scrap job/vacancy data from JobStreet website.
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Journey of learning at https://courses.getdbt.com by utilizing https://cloud.getdbt.com/ as managed dbt
My Journey on learning GoLang when Intern at SpaceStock - learning source: https://dasarpemrogramangolang.novalagung.com/
This is repo of myself during learning Typescript.
SDK of the LINE Messaging API for PHP
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Naive Bayes method to decide the class based on 4 features: total people in a building/house, total of eaten meat in a week, building material & source of gases.
Classification on Short Messaging Services using Naive Bayes Model to determine a SMS whether it's categorized as Normal, Fraud or Promotion.
The React Framework
Config files for my GitHub profile.
Scalable autograder for Python and Jupyter Notebooks
Really simple interface to show and edit our profile.
Picture Viewer using C# and .NET Framework
API endpoint to validate and process incoming message that comes from Backend Team to our Database. It is similar to CDC process that empowers message queue with help from Google PubSub
All Algorithms implemented in Python
My own react boilerplate
This is a final project of Decision Support System Course; given criteria and alternatives (list of recreation places). Give the user the most recommended places to visit using Weighted Product. Build in Python.