Predictive Analytics Platform for NFT Price Movements

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.