Predictive Analytics Platform for NFT Price Movements by Paulo PeixotoPredictive Analytics Platform for NFT Price Movements by Paulo Peixoto

Predictive Analytics Platform for NFT Price Movements

Paulo Peixoto

Backend Engineer

Blockchain Developer

Frontend Engineer

Bubble

Node.js

Python

My role.

Chief Technology Officer

Project Overview:

As CTO, I led the development of Liisa, a platform that leverages machine learning models to predict NFT price movements by ingesting blockchain data. The frontend was built on Bubble, while the backend utilized Python for ML algorithms and JavaScript for data ETL processes. Our efforts led to successfully raising $170k in initial VC funding.

Outcome:

Delivered a cutting-edge analytics platform that attracted significant investor interest and provided valuable insights into NFT market trends.