Role Data Scientist / Designer
Database Neo4j (Graph)
Crossover DS × Product Design
GitHub — Under Construction

Overview

A recommendation engine that dynamically samples songs from the Spotify ecosystem and suggests tracks based on artists you love. Powered by a Neo4j graph database that models relationships between artists, songs, genres, and audio features.

Sits at the intersection of data science and product design — the engine powers a Figma UI prototype that makes the recommendation experience feel intuitive and explorable.

Stack

Python Scikit-learn Neo4j Spotify API Figma

Key Numbers

Neo4j Graph Backend
6+ Audio Features
DS×D Crossover

Pick two artists

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Select two different artists to see recommendations.