Nicholas Arcolano
Data science – Analytics – Machine Learning – Statistics – Visualization
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Data Science

1

A/B Testing Theory and Practice (TrueMotion Data Science Lunch Seminar)

Posted on September 19, 2016 by Nicholas Arcolano

For a while now the data science team at TrueMotion has been meeting for a weekly internal lunch seminar, and recently we’ve started recording the discussions when the topic is of broader interest. For instance, this week I led a… Continue Reading →

Data Science Conferences, Data Science, Talks, TrueMotion, Video
0

Bridging the Gap Between Data and Insight Using Open-Source Tools (ODSC 2015 Talk)

Posted on July 6, 2015 by Nicholas Arcolano

These are slides from my talk at the Boston Open Data Science Conference, held May 30-31, 2015 at the Boston Convention and Expo Center. I focused on how open-source tools are helping data scientists like me shorten the time it… Continue Reading →

Data Science Conferences, Data Science, Geo, ODSC, Python, Talks
0

Data Science on a Budget (Boston Data Festival 2014 Talk)

Posted on November 6, 2014 by Nicholas Arcolano

These are slides for a talk I gave at this year’s Boston Data Festival about the lessons I’ve learned from working as part of a small data team at RunKeeper over the past year. In particular, I talked about how… Continue Reading →

Data Science A/B Testing, Boston Data Festival, Conferences, Data Science, Talks
0

A Crash Course in A/B Testing: Or, How to Tell If You’re Accomplishing Anything

Posted on July 21, 2014 by Nicholas Arcolano

This is a deck I’ve been using over the past few months to teach the product, program, business development, and marketing folks at RunKeeper about some of the perils and pitfalls of A/B testing. I intended it to be a… Continue Reading →

Data Science A/B Testing, Data Science, Probability, Statistics, Talks
3

5 Things I’ve Learned About Data Science

Posted on January 1, 2013 by Nicholas Arcolano

A few months ago I started a new job for the first time in 10 years, leaving my comfortable home at a government FFRDC for an exciting opportunity with the new data science and analytics team at FitnessKeeper. Even though… Continue Reading →

Data Science Data Science

About Me

Professional Photo 2016 (Square)
Leading data science efforts at Jellyfish. Formerly TrueMotion, Runkeeper, MIT Lincoln Laboratory, Harvard SEAS Ph.D. Loves running, though it doesn't always love him back.

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