Projects
Data Scrapping
Goodreads Data Scrapper
Goodreads is the world’s largest site for readers and book recommendations. Their mission is to help people find and share books they love. Goodreads launched in January 2007.1 This project's goals is to acquire data from Goodreads.com using BeautifulSoup on Python. The data acquired will be including but not limited to book details, user score, and book in the lists.
Technology used: python, BeautifulSoup
Exploratory Data Analysis
iPhone 14 Tweets Exploratory Data
The teaser for iPhone 14 just released on September 7th 2022 and Kaggle provided a dataset that collect 144k+ of tweet data that contain word 'iPhone 4'. In this notebook, I'm using python and seaborn to analyzed the tweet data.
Technology used: python, Seaborn, Matplotlib
Machine Learning
Goodreads Content Based Recommendation System
I love reading; I also love a good book recommendation. Therefore in this project, I created a content based recommendation system for book on Goodreads using Kaggle's Goodreads' Best Book ever dataset.
Technology used: python, scikit-learn
Natural Language Processing
iPhone 14 Tweets Sentiment Analysis
Not only explored the dataset(see: iPhone 14 Tweets Exploratory Data), I also did a simple sentiment analysis using NLTK and vaderSentiment for analyzing the iPhone 14 tweet data. I used vaderSentiment because it's specifically attuned to sentiments expressed in social media.
Technology used: python, NLTK, vaderSentiment
Deep Learning
Indonesian Food Image Classification
Using fast.ai and ResNet50 models, I solved image classification task on Indonesian food dataset that I gathered by myself (suspiciously, it contains three distinct food class that I frequently eat).
Technology used: python, fast.ai
Data Visualization
Bookstore Dashboard using Tableau
In this project, I created a visualization of book's sales on the bookshop dataset using Tableau Public.
Technology used: tableau, figma
Others
A Simple Landing Page for Astro Aji Abadi
Creating a simple landing pages for Astro Aji Abadi as a favor to a family friend.
Technology used: HTML, CSS, JavaScript