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James Powell Email & Phone Number

Python Training & Consulting for Data Science & Quant Finance at Don't Use This Code
Location: New York, New York, United States 3 work roles 1 school
1 work email found @dontusethiscode.com LinkedIn matched
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Contact Signals · 1 work email

Work email j****@dontusethiscode.com
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Current company
Role
Python Training & Consulting for Data Science & Quant Finance
Location
New York, New York, United States

Who is James Powell? Overview

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Quick answer

James Powell is listed as Python Training & Consulting for Data Science & Quant Finance at Don't Use This Code, based in New York, New York, United States. AeroLeads shows a work email signal at dontusethiscode.com and a matched LinkedIn profile for James Powell.

James Powell previously worked as Technical Lead at Don'T Use This Code and Managing Partner at The Python Quants, Llc. James Powell studied at The University Of Texas At Austin.

Company email context

Email format at Don't Use This Code

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{first}@dontusethiscode.com
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AeroLeads found 1 current-domain work email signal for James Powell. Compare company email patterns before reaching out.

Profile bio

About James Powell

I work with open source data science tools, with a focus on technologies written in Python and applications of these technologies to problems in quantitative finance.I am interested in building a richer community surrounding these tools and technologies, and dedicate a significant amount of my time to organising events and groups that support this ecosystem.I have chaired a number of conferences, including over eight PyData (http://pydata.org) events, one regional Python conference (http://pygotham.org), two finance industry conferences (http://forpythonquants.com), and one data science and machine learning conference (http://opendatascicon.com)I have also given over 80 talks on advanced Python topics at over 35 conferences in over 10 countries.

Listed skills include Python, Data Science, Machine Learning, Open Source, and 4 others.

Current workplace

James Powell's current company

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Don't Use This Code
Don'T Use This Code
Python Training & Consulting for Data Science & Quant Finance
AeroLeads page
3 roles

James Powell work experience

A career timeline built from the work history available for this profile.

Managing Partner

The Python Quants, Llc

› Helped organisations understand how open source data science can be employed to solve problems in quantitative finance.› Developed data science, machine learning, and signal analysis technologies written in Python.› Trained quantitative finance professionals in the use of data science technologies in Python (numpy, scipy, pandas, &c.)› Organised two.

Jun 2014 - Aug 2016

Python Analyst

Operational Applied Systems Research
May 2014 - Jul 2016
1 education record

James Powell education

  • The University Of Texas At Austin
    The University Of Texas At Austin
FAQ

Frequently asked questions about James Powell

Quick answers generated from the profile data available on this page.

What company does James Powell work for?

James Powell works for Don't Use This Code.

What is James Powell's role at Don't Use This Code?

James Powell is listed as Python Training & Consulting for Data Science & Quant Finance at Don't Use This Code.

What is James Powell's email address?

AeroLeads has found 1 work email signal at @dontusethiscode.com for James Powell at Don't Use This Code.

Where is James Powell based?

James Powell is based in New York, New York, United States while working with Don't Use This Code.

What companies has James Powell worked for?

James Powell has worked for Don'T Use This Code, The Python Quants, Llc, and Operational Applied Systems Research.

How can I contact James Powell?

You can use AeroLeads to view verified contact signals for James Powell at Don't Use This Code, including work email, phone, and LinkedIn data when available.

What schools did James Powell attend?

James Powell studied at The University Of Texas At Austin.

What skills is James Powell known for?

James Powell is listed with skills including Python, Data Science, Machine Learning, Open Source, Open Source Software, Linux, Numpy, and Scipy.

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