Open to opportunities

Dex King

@dexking

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Music data analyst and R specialist delivering predictive insights to optimize streaming and marketing.

United States

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What I'm looking for

I seek a data science or analytics role in music where I can apply R-driven modeling, scale data pipelines, and influence marketing/A&R strategy in a collaborative, impact-focused team.

I am a results-driven Music Data Analyst and R specialist with 5+ years applying statistical modeling and machine learning to streaming and consumption datasets to inform marketing and A&R decisions.

At Melody Metrics I led a team of three analysts, built predictive models using tidymodels and caret that improved pre-release campaign efficiency by 15%, and automated reporting with R Markdown and Shiny to save 40 hours monthly. I integrate SQL and Python with R workflows to process large-scale music consumption data from APIs like Spotify and Apple Music.

My background includes clustering listener segments, text mining social data for artist discovery, and producing reproducible analytics; I bring deep domain knowledge of music streaming metrics, practical engineering skills on cloud platforms, and a track record of translating analytics into strategic outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Melody Metrics Inc.

May 2022 - Present (3 years 7 months)

Led a team of three analysts to develop and deploy R-based predictive models that improved pre-release marketing efficiency by 15% and automated reporting workflows, saving ~40 hours per month.

R R Markdown SQL Python Time Series Analysis Data Visualization

Data Analyst

Def Jam Records

Jul 2019 - Apr 2022 (2 years 9 months)

Performed statistical analyses and clustering in R to inform digital music strategy, increasing targeted advertising success by 20% and supporting A&R with social media text-mining insights.

R Clustering A B Testing SQL Playlist Analysis

Education

Degrees, certifications, and relevant coursework

Full Sail University

Master of Science, Data Science

Master of Science in Data Science with coursework in statistical computing, predictive modeling, and big data systems; thesis on predicting music hit potential using deep learning.