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Daniel McEnnis

Advisor Columbus, Ohio Area, US

Previously Researcher Consultant, Rdio. Previously Researcher, Gracenote. McGill grad. The Ohio State grad.

Previously Researcher Consultant, Rdio. Previously Researcher, Gracenote. McGill grad. The Ohio State grad.

followers
following
3 vouches

Involved In

Side Projects

see github account and sourcefor
Research at Scale Inc.

Positions

CEO Research at Scale December 2014 - present
Researcher Consultant Rdio August 2013 - January 2014
Researcher Gracenote July 2011 - May 2013
System Administrator for DDMAL McGill University October 2004 - July 2006
Research Assistant Cognitive Ethno-Musicology Lab The Ohio State University January 2001 - December 2001

Education

McGill University Music Technology 2004 - 2006
The Ohio State University Computer Science and Music 1995 - 2003

Interested In

Markets of Interest
  • • Data & Analytics
  • • Enterprise Software
  • • Media
  • • Music
  • • Productivity Tools
  • • In-classroom learning (K-12)
  • • Data Science Tools
  • • K-12 Lesson Plan Recommendation

You Should Know About Me

Key Accomplishments

I crossed from academic data science in the music domain to commercial data science in 2011, previously working in music recommendation at scale and distributed digital signal procesing.

I worked at Gracenote for 2 years where I and a small team replaced over 50% of Gracenote's previous revenue with new products and enhancements of products outside Gracenote's core CDDB business.

For 5 months, I consulted with Rdio providing a number of research solutions including definitive track selection (including clustering of tracks at scale), implementing their new collaborative filtering engine, designed their automation pipeline for analysis and model evaluation to deployment, and several additional projects.

Recently, I have founded Research at Scale as a consulting company looking to fund data science tool development with consulting contracts, eventually morphing into providing consultant and outsourcing friendly tools for data science analysis as a product as a service.

How I like to work with people As a Cofounder

I am flexible - most collaboration approaches work. However, I work best with a steady exchange of ideas merging the technical problem with the business and customer objectives.

3
Vouches Received

1
Vouches Given

Think Daniel is awesome?
Vouch for them.

Steve Scherf
We worked together at Gracenote  •  Co-Founder & CTO, Gracenote. Previously Principal Engineer, Stratus Computer. University of California, Santa Cruz grad.
Smart and asks the right questions.
Ichiro Fujinaga
They're my professor  •  Professor, McGill University. Previously Co-Investigator, DOCAM. McGill grad.
He's smart and he's a great programmer.
Michael Darius
Founder / Reflectioneer @rethinkCAFE, Design Partner @darius design — I humanize and design meaningful branded product & service experiences

Steve Scherf
Co-Founder & CTO, Gracenote. Previously Principal Engineer, Stratus Computer. University of California, Santa Cruz grad.
He's worked the entire stack - strategizing as a technical fellow at Gracenote at the highest levels while still keeping in touch with low l ... evel coding and nearly everything in between. He is the brains behind many of the services and servers running Gracenote products. His finest coding works are the most optimized C servers in the Valley. On the management side, he has managed the complete lifecycle of CDDB from initial startup to its obsolescence.