Best-selling Books Reimagined As Flowers

As someone who loves books, I wanted to visualize best-selling books in a more interesting way, so that whenever I need a new book to read, I could skim through the viz quickly to get an idea of what books I haven't read yet.

Tools used: d3.js

Data Viz - Airbnb Price in Chicago

After using Python for quite some time, I found Python to be very inflexible in terms of Viz. That being said, I decided to teach myself d3.js, a very useful tool for Data Viz! Python is still useful in doing an EDA, but to create the final Viz, d3 is way more flexible.

For this Viz, I created a Force Diagram that shows Airbnb Price in Chicago categorized by Room Type. I initially wanted to use different hues under one color for each price range, but given the data, some points might be invisible. That's why if you see the Diagram, I used different colors to show different price range.

A Simple PCA

A simple application of PCA in streamlit. Any data can be uploaded and a corresponding chart will then be shown.

Customer's Next Purchase Prediction

This project shows that GMV should not be the only major yardstick used by e-commerce companies. It involves Machine Learning modeling that allows us to predict customer's next purchase, which could help companies target the right customers through their marketing campaign.

I wrote an article on Medium about this topic. Click the button below to learn more!

Airbnb Analysis

This project uses New York City Airbnb Data from kaggle and is focused on analyzing the impact of Airbnb's features, such as superhost rate, on listing prices. The analysis uses data right before Coronavirus took over the world by storm.

I wrote an article on Medium about this topic. Click the button below to learn more!

Credit Card Fraud

The purpose of the project is to detect fraud by comparing different Machine Learning models and see which one works best. Three ML algorhitms were used: Random Forest, Logistic Regression, and SVM.

Sales Dashboard

This simple project was done to help SMEs in Indonesia to track their performance, particularly small F&B businesses, which I believe need a lot of attention during this pandemic

Stock Analysis Using Time Series

This project was inspired by Grub and Uber's merger possibilities. The article that I wrote tells the stories of both stocks' performance before and after the merger news emerged

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