Mike Harmon

Mike Harmon Email and Phone Number

AI Engineer @ Millennium
New York, United States
Mike Harmon's Location
Brooklyn, New York, United States, United States
About Mike Harmon

I am a Machine Learning Engineer & Data Scientist in New York City that is always trying to learn and grow. I have over 7 years of experience in data science and 5 years of experience leading projects, managing teams and mentoring data scientists. I have worked on projects in supervised learning, unsupervised learning, time series, auto-machine learning, optimization, entity resolution, natural language processing, geo-spatial data analysis, econometrics and marketing. I am an Apache Spark enthusiast and have been using it extensively in both Python and Scala since 2017. I strive to lead by being a positive example and have a passion for technology, elevating my teammates as well as solving challenging problems.

Mike Harmon's Current Company Details
Millennium

Millennium

View
AI Engineer
New York, United States
Website:
mlp.com
Employees:
8014
Mike Harmon Work Experience Details
  • Millennium
    Ai Engineer
    Millennium
    New York, United States
  • Jpmorgan Chase & Co.
    Executive Director - Applied Ai And Ml Director
    Jpmorgan Chase & Co.
    New York, United States
  • Jpmorgan Chase & Co.
    Executive Director - Applied Ai/Ml Director
    Jpmorgan Chase & Co. Jan 2024 - Present
    New York, Ny, Us
  • Jpmorgan Chase & Co.
    Vice President - Applied Ai/Ml Lead
    Jpmorgan Chase & Co. May 2022 - Jan 2024
    New York, Ny, Us
  • Jpmorgan Chase & Co.
    Vice President - Data Scientist Lead
    Jpmorgan Chase & Co. Jan 2020 - May 2022
    New York, Ny, Us
  • Jpmorgan Chase & Co.
    Senior Associate - Data Scientist
    Jpmorgan Chase & Co. Nov 2017 - Jan 2020
    New York, Ny, Us
  • Broker Genius
    Data Scientist
    Broker Genius May 2017 - Oct 2017
    New York, New York, Us
    • Worked at a start up specializing in software to price tickets on secondary markets such as StubHub.• Identified key drivers of return on MLB game ticket sales and prepared reports that were presented to clients.• Built a classification model using Scikit-learn to predict if MLB games will be profitable with 80% precision.• Created a web app to optimize when and how much to sell tickets for using PySpark, Airflow, Flask and Bokeh.• Tools Used: Python, Hive, PySpark, Pandas, Scikit-learn, Airflow, Flask, Bokeh.
  • Insight Data Science
    Postdoctoral Data Science Fellow
    Insight Data Science Sep 2016 - Apr 2017
    San Francisco, Ca, Us
    • Data Scientist in funded fellowship to assist PhDs transitioning from academia to industry.• Built a Python web app to forecast crime rates in NYC: michael-harmon.com/CrimeTime• Forecasted local crime rates using seasonal ARIMA models that were trained on police precinct data.• Wrote unit tests, documentation, and built front end using Flask, HTML, and deployed to AWS.• Tools Used: Python, Pandas, SQL, StatsModels, Flask, Bootstrap
  • The Deal.Ii Finite Element Library
    Open Source Contributor
    The Deal.Ii Finite Element Library May 2016 - Mar 2017
    • Refactored the C++ library’s solver for distributed linear algebra to be more efficient and added a unit test.• The added functionality was immediately adopted by users and resulted in solve times that are 250× faster.• Created example for deal.ii’s code gallery to teach users to write LDG methods in a distributed framework.
  • The University Of Texas At Austin
    Phd Student In Applied Mathematics
    The University Of Texas At Austin Sep 2011 - Aug 2016
    Austin, Tx, Us
    • Developed software in C++ to simulate photoelectrochemical solar cells and help optimize cell design.• Designed and implemented numerical algorithms that reduced computational run time by a factor of 24.• Created testing framework and wrote documentation webpage: www.michael-harmon.com/PECS• Proved theoretical convergence of algorithms and validated results with numerical experiments.• Taught 11 undergraduate courses in calculus, linear algebra, differential equations and scientific computing.
  • Harvard University
    Technical Editor
    Harvard University Dec 2010 - May 2012
    Cambridge, Massachusetts, Us
    • Edited over fifty chapters from physics textbooks that were converted to LaTeX using OCR for a blind graduate student.
  • Fisher College
    Adjunct Mathematics Instructor
    Fisher College Aug 2010 - May 2011
    Boston, Ma, Us
    • Communicated mathematics to a non-technical audience by teaching four courses in algebra and statistics to over 60 under-resourced students.

Mike Harmon Skills

Numerical Analysis Scientific Computing Applied Mathematics Data Analysis C++ Python Research Mathematical Modeling High Performance Computing Machine Learning Sql Statistics Apache Spark Hive Hadoop Scala Java Bash Airflow Mongodb Physics

Mike Harmon Education Details

  • The University Of Texas At Austin
    The University Of Texas At Austin
    Computational Applied Mathematics
  • The University Of Texas At Austin
    The University Of Texas At Austin
    Computational Applied Mathematics
  • New York University
    New York University
    Mathematics

Frequently Asked Questions about Mike Harmon

What company does Mike Harmon work for?

Mike Harmon works for Millennium

What is Mike Harmon's role at the current company?

Mike Harmon's current role is AI Engineer.

What is Mike Harmon's email address?

Mike Harmon's email address is mi****@****ase.com

What is Mike Harmon's direct phone number?

Mike Harmon's direct phone number is +161748*****

What schools did Mike Harmon attend?

Mike Harmon attended The University Of Texas At Austin, The University Of Texas At Austin, New York University.

What are some of Mike Harmon's interests?

Mike Harmon has interest in Photograph, Boating, Cooking, Exercise, Gardening, Outdoors, Electronics, Home Improvement, Reading, Brazilian Jiu Jitsu.

What skills is Mike Harmon known for?

Mike Harmon has skills like Numerical Analysis, Scientific Computing, Applied Mathematics, Data Analysis, C++, Python, Research, Mathematical Modeling, High Performance Computing, Machine Learning, Sql, Statistics.

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