Our mission?

We aren't the first to provide song recomendations to those in search of some fresh sounds. We know of Spotify radio, Pandora radio, Apple music recomendations and all those fancy things, but what we are trying to figure out is why these companies suggest the songs they recomend to their users.

Here at Spotify Suggester Group 2, we take the taste profile of listeners, and through the use of machine learning and data science, we formulate a list of recomended songs, based on the mood of the songs you already like. Most companies might just recomend songs of the same genre or type, in hopes that it would fullfil their listener's desires, but by basing our list on the mood of your favorite songs, we can hook you up with sounds of similar key, energy, tempo, and even valence, so that you never have to take time out of the day to wonder:
"What song should I play next?"

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Meet the team

Emilio Ramirez

Emilio Ramirez

WEB32

Frontend Developer

Nic Lehman

Nic Lehman

WEB31

Frontend Developer

Kevin Lam

Kevin Lam

WEB33

Frontend Developer

David Gansen

David Gansen

DS15

Data Scientist

Hadi Modares

Hadi Modares

DS14

Machine Learning Engineer

Jacob Desselles

Jacob Desselles

DS15

Data Scientist

Teagan

Teagan

WEB31

Frontend Developer

David Temple

David Temple

WEB32

Frontend Developer

Donta Hobson

Donta Hobson

WEB30

Backend Developer