Data scientist and paper co-author

Independent research (opens in a new tab)

Period: Aug 2021 to Oct 2021
Room in the 3D HQ: L2:research-ewallet-sentiment-2021

I analysed sentiment by aspect in app-store reviews of four Indonesian e-wallets using CNN and LSTM. This was our selection-phase entry in the data competition my team later won.

Highlights

Co-authored paper: Indonesian Digital Wallet Sentiment Analysis Using CNN and LSTM Method
Advanced from this selection-phase work to 1st place at the IFEST 2021 Data Analysis Competition

Tech stack

Python
TensorFlow
Streamlit

Read the case studyIFEST 2021 Sentiment Analysis: E-Wallets and PPKM Policy