Daniel Keogh
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Daniel Keogh Email & Phone Number

Product at Moonlite AI
Location: New York, New York, United States 16 work roles 2 schools
1 work email found @quantummetric.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@quantummetric.com
LinkedIn Profile matched
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Current company
Role
Product
Location
New York, New York, United States

Who is Daniel Keogh? Overview

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Quick answer

Daniel Keogh is listed as Product at Moonlite AI, based in New York, New York, United States. AeroLeads shows a work email signal at quantummetric.com and a matched LinkedIn profile for Daniel Keogh.

Daniel Keogh previously worked as Senior Data Science Manager at Quantum Metric and Data Science Manager at Quantum Metric. Daniel Keogh holds Bachelor'S Degree, Mathematical Economics from Colorado College.

Company email context

Email format at Moonlite AI

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{first_initial}{last}@quantummetric.com
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AeroLeads found 1 current-domain work email signal for Daniel Keogh. Compare company email patterns before reaching out.

Profile bio

About Daniel Keogh

I am an entrepreneurial Data Scientist with a wide range of tools to attack, clean, and model data. My focus is to maintain perspective of the actual impact of my work through providing business-relevant analytics on my projects and models.

Listed skills include Entrepreneurship, Research, Brand Strategy, Competitive Analysis, and 40 others.

Current workplace

Daniel Keogh's current company

Company context helps verify the profile and gives searchers a useful next step.

Moonlite AI
Moonlite Ai
Product
New York, NY, US
AeroLeads page
16 roles

Daniel Keogh work experience

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

Senior Data Science Manager

Current

Colorado Springs, CO, US

Jul 2023 - Present

Data Science Manager

Colorado Springs, CO, US

Nov 2021 - Jul 2023

Data Scientist

Colorado Springs, CO, US

Feb 2021 - Nov 2021

Data Scientist

Bellevue, Washington, US

  • Build and design machine learning models that predict structural features with precision and recall >97% using time-series property, geospatial, and imagery data.
  • Engineer and deploy product pipelines using the Python Scientific stack, MxNet, and a variety of AWS tools and infrastructure to automate the delivery of property analytics for millions of addresses across the US.
  • Managed entire model development life-cycles by defining scope and deliveries, generating required data inputs, iterating over model architectures, and orchestrating deployment in our pipelines.
  • Optimize cloud and delivery workflows by providing analytics and visuals of KPIs using SQL, Matplotlib, and cloud logging tools.
  • Devise and execute A/B tests to inform model selection, tune parameters, and evaluate robustness on live data.
  • Perform analyses to verify model results with historical property data using SQL spatial tools and visual libraries.
Dec 2018 - Feb 2021

Machine Learning Engineer

Private Contracting
  • Implement object detection, tracking and counting algorithms for clients to accelerate internal work processes
  • Oversee and assist with the creation and collection of necessary datasets
Sep 2018 - Dec 2018

Co-Founder And Machine Learning Engineer

Colorado Springs, Colorado, US

  • Designed and implemented machine learning models to process video using TensorFlow and the Google Cloud AI stack to identify persons-of-interest at precision and recall rates of >95%, at 5X realtime speed.
  • Assisted the CEO and CTO in informing the business and product strategy outlooks through financial and operating insights.
  • Integrated our machine learning models with GCP services, increasing the development cycle by 10X.
  • Implemented computer vision algorithms to offer precise movement and color detection using OpenCV.
  • Visualized our new data daily using Pandas, Matplotlib, and Jupyter Notebooks for easily repeatable analyses on key metrics such as user-funnel conversion rates, model version performance, burn rate, and user targeting.
  • Created and implemented budgets, enterprise-software revenue models, capital acquisition strategies, financial controls, and expense tracking to ensure financial stability.
Sep 2016 - Aug 2018

Cfo & Computer Vision Development

Flyphone
  • Designed and applied object tracking computer vision algorithms on custom drones withiPhone cameras.
  • Created custom drone frames to carry the computer vision tracking system by prototyping,3D modeling, and 3D printing custom designs.
  • Drafted and implemented financial models and strategies to acquire funding throughvarious pitch competitions.
  • Assisted with the design and focus of the company's pitch.
Sep 2016 - Oct 2017

Student Advisory Board Member

Colorado Springs, CO, US

  • Offer a student's perspective and help advise on the Innovation Institute's strategic initiatives including curricular, co curricular, and extra curricular offerings, as well as more regular programming
Sep 2015 - May 2017

Athletics Marketing Assistsant

Colorado Springs, CO, US

  • Helped manage lists of season ticket holder in Excel sheets, also helping to manage and distribute the tickets for the college’s Division 1 teams, and other various jobs such as creating flyers for games and the teams’.
  • Worked at Women’s Soccer and Men’s Hockey games to set up promotions for team sponsors, and to help fan engagement
Sep 2013 - May 2017

Marketing And Communications Assistant

Colorado Springs, CO, US

  • Performed competitive audits on other Innovation programs at peer institutions
  • Assisted with creating and distributing marketing collateral
  • Helped design social media and website strategy
Sep 2015 - May 2016

Summer Analyst

Boston, MA, US

  • Assisted in drafting expert reports for a variety of cases such as, but not limited to, stock appraisals, corporate negligence, and energy pricing for numerous domestic law suits
  • Performed quantitative analyses of industry competition metrics to inform the strategic decisions of the underlying clients
  • Helped lead extensive document review to identify qualitative trends in order to assist the underlying client’s business needs or identify inconsistencies in an opposing expert report
May 2016 - Aug 2016

Brand Strategy Intern

Denver, Colorado, US

  • Participated as a team member in the development of various strategies and guidelines to implement clients’ branding initiatives in order to create clearer, more consistent messaging, as well as to align company image.
  • Performed industry research and competitive audits to asses the current strategy of the client and its competitors, and how economic and legislative variables are influencing the strategies
  • Helped assemble proposal decks for new business in response to received RFPs (Requests for Proposals)
  • Assisted in office work as well, including transcribing interviews, binding books, creating excel templates, and more
May 2015 - Aug 2015

Co Founder

Bene Mobile App
  • Co founded and headed marketing initiatives for Bene, an anonymous advice iPhone application
  • Helped develop the strategic plan for the application
  • Pitched the app at the annual Colorado College Big Idea competition
Dec 2014 - May 2015

Intern

New Canaan, Connecticut, US

  • Conducted potential client and subscriber research
  • Helped co-lead the product audit on the “SeniorCare Investor” newsletter, evaluating revenues, costs, content and competition
  • Worked on the Search Engine Optimization (SEO) initiative of the firm to better place its website on search engines through adding missing data tags and descriptions through the site's Drupel platform
  • Inputted long-term living and health care M&A deal write-ups into Deal Search Online, the firm's deal database
Jun 2014 - Aug 2014

Prefect And Ra

Windsor, Connecticut, US

  • Performed daily tasks around the dorm such as desk duty, creating lists for dorm chores, and voicing concerns of the students to the dormitory faculty advisors and residential life committee as a junior in a freshmen.
  • Designed and executed dorm events for hall bonding such as barbecues and football
  • Assessed the needs of residents and provided necessary academic or social help and advice
  • As RA performed the same duties as my time spent as a prefect, but in a dorm comprised of seniors and post-graduates
Sep 2011 - Jun 2013
2 education records

Daniel Keogh education

Bachelor'S Degree, Mathematical Economics

Colorado College

High School

The Loomis Chaffee School
FAQ

Frequently asked questions about Daniel Keogh

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

What company does Daniel Keogh work for?

Daniel Keogh works for Moonlite AI.

What is Daniel Keogh's role at Moonlite AI?

Daniel Keogh is listed as Product at Moonlite AI.

What is Daniel Keogh's email address?

AeroLeads has found 1 work email signal at @quantummetric.com for Daniel Keogh at Moonlite AI.

Where is Daniel Keogh based?

Daniel Keogh is based in New York, New York, United States while working with Moonlite AI.

What companies has Daniel Keogh worked for?

Daniel Keogh has worked for Moonlite Ai, Quantum Metric, Eagleview, Private Contracting, and Omnify.

How can I contact Daniel Keogh?

You can use AeroLeads to view verified contact signals for Daniel Keogh at Moonlite AI, including work email, phone, and LinkedIn data when available.

What schools did Daniel Keogh attend?

Daniel Keogh holds Bachelor'S Degree, Mathematical Economics from Colorado College.

What skills is Daniel Keogh known for?

Daniel Keogh is listed with skills including Entrepreneurship, Research, Brand Strategy, Competitive Analysis, Strategic Planning, Innovation Management, Marketing, and Powerpoint.

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