Patrick McNamara

Data Science at Sealed
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Languages
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 1 ratings
  • (1)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Yitian Zhu

I worked with Patrick McNamara for around a year for Efficiency 2.0 and C3 Energy, he worked as my direct manager and advisor at the time. I really enjoyed working with him because of his great work ethic, intelligence and considerate personality. His analytical skills were greatly appreciated by people in every department of the company as well as the executives when Patrick served as analytics manager. His strong technical capabilities and business accument earned him not only promotions but the respect of his peers. I’m grateful for all the support gained from him, it was a pleasure to be a colleague of his.

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Consumer Services
    • 100 - 200 Employee
    • Data Science
      • Dec 2012 - Present

      Developed patent-pending analytics protocol and machine learning algorithms for predicting electricity consumption with industry-leading accuracy Provided data support for business development and fundraising Assisted in company efforts to reform state and local regulatory framework to be more conducive to shared-savings business models Developed patent-pending analytics protocol and machine learning algorithms for predicting electricity consumption with industry-leading accuracy Provided data support for business development and fundraising Assisted in company efforts to reform state and local regulatory framework to be more conducive to shared-savings business models

    • United States
    • Wellness and Fitness Services
    • 700 & Above Employee
    • Director of Data Science
      • Apr 2018 - Dec 2019

      Leading team of data scientists with myriad experience in understanding drivers of provider decision-making and the impact of incentives and behavior change programs on clinical and financial outcomes Designed proprietary methodology and metrics for evaluating physician behavior that is both granular and highly-scalable Managed the design, development, release and evaluation of analytics tools for behavior change programs to minimize clinical costs and optimize member treatment pathways

    • United States
    • Entertainment
    • 700 & Above Employee
    • Director of Data Science
      • Mar 2017 - Mar 2018

      Worked with departments across the C-Suite for design and management of quantitative insights to drive marketing, sales, in-venue experience, pricing and customer engagement strategy Managed update of arena Wi-Fi network to improve in-venue experience, improve understanding of customer base and drive fan engagement Designed, implemented and evaluated in-venue operations experiments for ~$800,000 increase in annual food & beverage revenue at no additional cost Shepherded implementation of facial recognition technology for venue security and consumer insights Brought multiple new data sources online for analytical use including external resale and venue behavioral data Built customer retention model using machine learning to improve sales team operational efficiency

    • United States
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Sr. Data Scientist
      • Nov 2015 - Mar 2017

      Developed features to evaluate provider quality from claims-based data Designed algorithms and interactive tool that intelligently matched patients with the best doctors, including rollout with customer-facing team Combined public & propriety datasets for high-value customer targeting Collaborated with leaders across the company to turn research into product features Developed features to evaluate provider quality from claims-based data Designed algorithms and interactive tool that intelligently matched patients with the best doctors, including rollout with customer-facing team Combined public & propriety datasets for high-value customer targeting Collaborated with leaders across the company to turn research into product features

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Science Consultant
      • Feb 2014 - Oct 2015

      Built machine learning models predicting product failure and customer service calls for Nest Labs Helped build predictive customer service platform to reduce frequency and duration of customer service interactions Built machine learning models predicting product failure and customer service calls for Nest Labs Helped build predictive customer service platform to reduce frequency and duration of customer service interactions

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Science Instructor
      • Aug 2013 - Aug 2014

      Teach students the fundamentals of Data Science including statistics, data mining, model building and machine learning Teach students the fundamentals of Data Science including statistics, data mining, model building and machine learning

    • United States
    • Software Development
    • 100 - 200 Employee
    • Analytics Manager
      • Jun 2010 - Sep 2012

      Regularly analyzed 100M+ utility bills, including property records and demographics data Managed relationships with clients and leading academics to implement and evaluate behavioral economics experiments on the company’s user base Researched, designed and evaluated digital and direct-mail marketing campaigns Appointed to run team to create new energy modeling products Presented research and novel evaluation methodology at industry conferences Regularly analyzed 100M+ utility bills, including property records and demographics data Managed relationships with clients and leading academics to implement and evaluate behavioral economics experiments on the company’s user base Researched, designed and evaluated digital and direct-mail marketing campaigns Appointed to run team to create new energy modeling products Presented research and novel evaluation methodology at industry conferences

Education

  • Duke University
    Master's of Management, Energy & Environmental Economics
    2008 - 2010
  • University of Missouri-Columbia
    Bachelor's degrees, Economics, Political Science
    2006 - 2008

Community

You need to have a working account to view this content. Click here to join now