Cameron Mcbride

Cameron Mcbride Email and Phone Number

Data Scientist & Strategist (Former Astrophysicist) @ Place Exchange
Cameron Mcbride's Location
Cambridge, Massachusetts, United States, United States
About Cameron Mcbride

Practical data scientist focusing on building value with data. I have broad experience utilizing ML(machine learning), AI (artificial intelligence), analytical tools, and software practices to improve the data ecosystem, create & refine models, and drive insight. As a generalist, I concentrate on practical, iterative solutions to find value and drive ROI (return on investment). I feel it's important to be transparent, upfront, and have extensive experience partnering with leadership, stakeholders, engineering, product, and even clients. I value keeping hands-on as well as building strategic processes and teams to meet business goals.

Cameron Mcbride's Current Company Details
Place Exchange

Place Exchange

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Data Scientist & Strategist (Former Astrophysicist)
Cameron Mcbride Work Experience Details
  • Place Exchange
    Vp Of Data & Analytics
    Place Exchange Jun 2023 - Present
    New York, Ny, Us
  • Freelance
    Advisor And Consultant
    Freelance Jun 2020 - Present
  • Hydrow, Inc.
    Vp Of Data Science, Engagement
    Hydrow, Inc. Apr 2022 - Feb 2023
    Boston, Massachusetts, Us
  • Hydrow, Inc.
    Senior Director, Engagement Analytics
    Hydrow, Inc. Oct 2021 - Mar 2022
    Boston, Massachusetts, Us
  • Smartvid.Io
    Director Of Predictive Analytics
    Smartvid.Io Feb 2019 - Apr 2020
    Cambridge, Ma, Us
  • Rubicon Project
    Senior Data Scientist
    Rubicon Project Jul 2017 - Jan 2019
    Playa Vista, Ca, Us
  • Ntoggle, Inc
    Senior Data Scientist
    Ntoggle, Inc Dec 2016 - Jan 2019
    Boston, Ma, Us
  • True Fit Corporation
    Senior Scientist
    True Fit Corporation Jun 2015 - Nov 2016
    Boston, Ma, Us
  • Harvard University
    Postdoctoral Fellow
    Harvard University Jul 2011 - Jun 2015
    Cambridge, Massachusetts, Us
    Academic scientist studying extra-galactic astronomy and cosmology. The focus was using large-scale structure to better understand galaxy formation and evolution, cosmology, and fundamental physics on very large scales. This utilized observational data from surveys (such as the Sloan Digital Sky Survey), as well as modeling using high performance supercomputers.
  • Vanderbilt University
    Research Associate
    Vanderbilt University Jul 2008 - Jul 2011
    Nashville, Tennessee, Us
    Scientific research in large-scale structure of galaxy redshift surveys. Analyzed numerical simulations, and used statistical modeling, to simulate observation data observed in galaxy redshift surveys. Helped co-found LasDamas collaboration, and worked with the large collaboration in the Sloan Digital Sky Survey project.
  • University Of Pittsburgh
    Graduate Student Research
    University Of Pittsburgh Sep 2003 - Jun 2008
    Pittsburgh, Pa, Us
    Working with Prof. Andrew Connolly (my advisor) to study extragalactic astronomy, galaxy evolution, large-scale structure and cosmology using statistical and computational methods. My main project has been investigating the 3 point correlation function of galaxies in the Sloan Digitial Sky Survey.
  • University Of Pittsburgh
    Graduate Teaching Assistant
    University Of Pittsburgh Sep 2003 - May 2005
    Pittsburgh, Pa, Us
    Was a teaching assistant for the following courses at pitt: * Physics 0174 (Fall 2003) taught by Paul Reilly * Astronomy 0088 (Spring 2004) taught by Prof. Schulte-Ladbeck * Physics 0175 (Spring 2005) taught by Prof. Peter Koehler * Physics 0175 (Spring 2005) taught by Kiplin Perkins * Astronomy 0088 (Fall 2005) taught by Prof. Turnshek
  • Case Western Reserve University
    Research Assistant
    Case Western Reserve University Dec 2002 - Sep 2003
    Cleveland, Oh, Us
    Full-time work with Prof. Chris Mihos on a project to simulate the evolution of intra-cluster light (ICL) in galaxy clusters. We used PDL (perl data language) and C to analyze and prepare initial conditions for n-body simulation to be run on an inhouse beowulf cluster.
  • Houston Chronicle (Hearst Corporation)
    System Implementor
    Houston Chronicle (Hearst Corporation) 2001 - 2002
    Worked on front and back end processing of article submission, mostly interfacing story submissions of several regional newspapers with the established resources at the Houston Chronicle. Connected our code and websites to legacy systems (long live COBOL?). Utilized perl, SQL (Oracle), bash / shell in a unix shop and web technologies (CGI, mod_perl).

Cameron Mcbride Skills

Data Analysis Research Statistics Machine Learning Mathematical Modeling Algorithms Numerical Analysis Applied Mathematics High Performance Computing Scientific Computing Computational Physics Physics Theoretical Physics Astronomy Astrophysics Science Simulations Monte Carlo Simulation Scientific Writing Latex Mathematica Unix Programming Ruby Perl Julia C R Sql Python Image Processing Data Science Julia

Cameron Mcbride Education Details

  • University Of Pittsburgh
    University Of Pittsburgh
    Astrophysics
  • University Of Pittsburgh
    University Of Pittsburgh
    Physics
  • Case Western Reserve University
    Case Western Reserve University
    Minor In German

Frequently Asked Questions about Cameron Mcbride

What company does Cameron Mcbride work for?

Cameron Mcbride works for Place Exchange

What is Cameron Mcbride's role at the current company?

Cameron Mcbride's current role is Data Scientist & Strategist (Former Astrophysicist).

What is Cameron Mcbride's email address?

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What is Cameron Mcbride's direct phone number?

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What schools did Cameron Mcbride attend?

Cameron Mcbride attended University Of Pittsburgh, University Of Pittsburgh, Case Western Reserve University.

What are some of Cameron Mcbride's interests?

Cameron Mcbride has interest in Children, Electronics, Civil Rights And Social Action, Environment, Education, Science And Technology.

What skills is Cameron Mcbride known for?

Cameron Mcbride has skills like Data Analysis, Research, Statistics, Machine Learning, Mathematical Modeling, Algorithms, Numerical Analysis, Applied Mathematics, High Performance Computing, Scientific Computing, Computational Physics, Physics.

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