Projects

Data Science Salaries Analysis and Visualization Dashboard

This project analyzes and visualizes data science salaries from 2020 to 2022. It provides insights into average salaries based on experience levels, employment types, distribution of company sizes and locations, top employee residence locations, and a geographic visualization of average salaries by country.

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Gross Domestic Product (GDP) of Indonesia Dashboard

This is a simple dashboard where the objective of this project is to analyze and present data related to the Gross Domestic Product (GDP) of Indonesia at the provincial level. The project aims to provide insights into the distribution of GDP across provinces and identify the top provinces with the highest GDP in billion Indonesian Rupiah (IDR).

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London Bike Rides Dashboard

This project focuses on analyzing and visualizing data related to bike rides in London during a specific time period. The project aims to provide insights into bike ride patterns and the impact of weather conditions on bike usage.

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KNN and K-means Clustering for Data Science Salary Analysis

The goal of this project is to analyze data science salaries using K-nearest neighbors (KNN) and K-means clustering. By applying these algorithms, we aim to gain insights into the factors that influence salary levels

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Electric Vehicle Analysis Dashboard

This project dashboard provides a comprehensive analysis of the electric vehicle (EV) market in the United States. It covers various aspects of the EV industry, including total vehicles, average electric range, market share of battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), and the distribution of EVs by state, make, and model.

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Salary Analysis by Gender with Regression

-Gender pay gap is a widely discussed topic in various fields. Analyzing salary data by gender can provide insights into the extent of this disparity. In this post, we'll demonstrate how to load the data, clean it, visualize it, and finally, apply linear regression to understand the salary differences between genders.

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SILIT - Sign Language Transcriptor

SILIT is an innovative tool designed to convert sign language communication into written or spoken language. Utilizing advanced computer vision techniques, SILIT recognizes and tracks the movement of hands, fingers, and other relevant features in real-time video feeds.

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EngliScribe - Molding Fluency, One Word at a Time

EngliScribe is a website-based application that uses artificial intelligence as a solution for students to improve the language structure (grammar) of their documents. EngliScribe is designed to improve English literacy and fluency among Indonesian students. This project aims to address the low level of literacy and English language skills in Indonesia, which has a negative impact on access to information, employment opportunities, education, and global participation.

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Self-canteen

Self-canteen is a system where customers can make purchases and payments without human interaction.

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DNA to RNA to Amino Acid Translator

This Python program converts a DNA sequence into its complementary DNA strand, transcribes it into RNA, and then translates the RNA sequence into an amino acid sequence.

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Introduction to Blockchain Archive

This repository is a comprehensive archive of my academic journey at Universitas Gadjah Mada (UGM), showcasing coursework, projects, and practical experiments with Ethereum blockchain technologies.

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Smart Farming Monitoring System

This repository showcases the Smart Farming Monitoring System, a group project that combines IoT and data analysis to create a robust solution for monitoring agricultural environments. The project was developed using WOKWI for IoT simulations and ThingSpeak for data collection and analysis.

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Blogs & Publications

Leveraging Correlation and Clustering: An Exploration of Data Scientist Salaries

Published by AKADEMIA BARU PUBLISHING (M) SDN BHD

Author: Chandra Agoeng, Nurul Dini Faqriah Miza Azmi, Hakimah Mat Harun, Nurzulaikha Abdullah, Wan Azani Mustafa, Fakhitah Ridzuan

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Salary Analysis by Gender with Linear Regression Analysis

Published in Medium

Gender pay gap is a widely discussed topic in various fields. Analyzing salary data by gender can provide insights into the extent of this disparity. In this post, we’ll demonstrate how to load the data, clean it, visualize it, and finally, apply linear regression to understand the salary differences between genders.

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