Daniel Quinlan Email & Phone Number
@equifax.com
2 phones found area 781
LinkedIn matched
Who is Daniel Quinlan? Overview
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Daniel Quinlan is listed as VP, AI Delivery and Development Lifecycle at Equifax, a with 5 employees, based in Greater St. Louis, United States. AeroLeads shows a work email signal at equifax.com, phone signal with area code 781, and a matched LinkedIn profile for Daniel Quinlan.
Daniel Quinlan previously worked as Vice President | Product Engineering Leader, Data Engineering & Analytics at Equifax and Director, Data Visualization & Analytics at Equifax. Daniel Quinlan holds Masters, Applied Statistics, Analytics, & Data Science from University Of Kansas Medical Center.
Email format at Equifax
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AeroLeads found 1 current-domain work email signal for Daniel Quinlan. Compare company email patterns before reaching out.
About Daniel Quinlan
In 1884, an inspired novella called "Flatland" was first published, written by Edwin Abbott Abbott. Meant as a satire of hierarchical Victorian society, the protagonist, "Square", tells of life in a truly two-dimensional world. With only the dimensions of depth and width, life in Flatland has its quirks as well as its dangers. At the conflict of the story is Square's meeting of the strange, ever-pulsating new arrival, "Sphere", whose circular cross-section passes in and out of Flatland as a constantly growing and shrinking circle. Sphere grants Square a vision of the three-dimensional world beyond Flatland, forever changing his understanding of the world he perceives with his own senses.We are the Square, and the insights in our data is the Sphere. Our perception of the relationships between events and circumstances is limited to our own senses, but innovation in methods of visualization and data science have shown us something that we have been unable to see looking at spreadsheets and pivot tables of data. The "vision" of data science is to understand those hidden relationships that sit just beyond our line of sight, in a dimension as real as our own.At Equifax, I am responsible for a team in search of these relationships in business and operation data for our Workforce Solutions applications. Common tools for us include Google BigQuery, TensorFlow, Tableau (and Tableau Server), Cloud Composer, Python automation and analytics, and other business intelligence methods. These tools are enabling our business to voraciously consume the myriad of data points and draw conclusions on the success of business decisions and management practices.I hold a Masters of Science in Applied Statistics, Analytics & Data Science from the University of Kansas. I also earned my “Professional Machine Learning Engineer” certification for the Google Cloud Platform. With this knowledge, I hope to always be equipped for the ongoing data revolution.
Listed skills include Technical Writing, Report Writing, Project Management, Communication, and 7 others.
Daniel Quinlan's current company
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Daniel Quinlan work experience
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Vice President | Product Engineering Leader, Data Engineering & Analytics
- Lead a data engineering and analytics organization of +50 employees and contractors, including 5 people leaders, in the St. Louis office and remote across the United States and India.- Lead and mentor leaders in each aspect of delivery, including product management and architecture, technical architecture, DevOps engineering, quality engineering, software and data engineering, and their leadership.- Collaborate with business stakeholders, other technology leaders, digital strategy and marketing, and other analytics groups to explore our data assets and connect them with the data they need to make critical, data-driven decisions for their business.- Lead teams from the front by investigating new technologies and developing “proof-of-concepts” to push our organization to more advanced capabilities- Build a “design mindset” culture: when a process fails, evaluate the process or tool involved and make iterative improvements to reduce user error.- Responsible for creating processes and workflows for maintaining Software Development Life Cycle (SLDC) best practices.
Director, Data Visualization & Analytics
- Lead & mentor a team of 8 data engineers, data visualization developers, and data scientists- Engage with stakeholders at all levels, understand business challenges, and translate those into technical requirements for new data visualizations, data pipelines, and machine learning models- Design machine learning pipelines to support advanced analytical use cases- Design and lead implementation for data pipelines, data visualizations, data warehousing architectures, and machine learning models and deployments
Team Lead
- Lead a team of 5 technical business analysts in creating operational reporting and data analysis- Perform predictive studies on organizational KPIs when necessary- Design/publish Tableau analytical and data exploratory dashboards - Consult with executive leadership and provided business strategy recommendations supported by data
Security Advisor
- Work with a digital forensics team as an investigator for civil legal disputes and corporate internal investigations into fraud, collusion, and malfeasance and conducted client network security assessments.- Acted as Project Manager of all client network security assessments and liaison between clients and SpearTip technicians.
Colleagues at Equifax
Other employees you can reach at equifax.com. View company contacts for 5 employees →
David Vanderstraaten
Colleague at EquifaxGreater Sydney Area, Australia
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Brenda Szukala
Colleague at EquifaxHilliard, Ohio, United States
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Rajalaxmi Jena
Colleague at EquifaxUnited States
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Jorge Abarca
Colleague at EquifaxAtlanta Metropolitan Area, United States
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Mrutyunjaya Samantaray
Colleague at EquifaxPune, Maharashtra, India
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Kelly Rohrbouck
Colleague at EquifaxDenver Metropolitan Area, United States
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Deborah Rorex, Pmp, Mba
Colleague at EquifaxAustell, Georgia, United States
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Ruben Morales Maldonado
Colleague at EquifaxSantiago, Santiago Metropolitan Region, Chile
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Abdul Rahman El Habboub
Colleague at EquifaxGreater Toronto Area, Canada
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Treena Gilmore
Colleague at EquifaxSt Louis, Missouri, United States
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Daniel Quinlan education
Masters, Applied Statistics, Analytics, & Data Science
Bs, Physics, Philosophy
Frequently asked questions about Daniel Quinlan
Quick answers generated from the profile data available on this page.
What company does Daniel Quinlan work for?
Daniel Quinlan works for Equifax.
What is Daniel Quinlan's role at Equifax?
Daniel Quinlan is listed as VP, AI Delivery and Development Lifecycle at Equifax.
What is Daniel Quinlan's email address?
AeroLeads has found 1 work email signal at @equifax.com for Daniel Quinlan at Equifax.
What is Daniel Quinlan's phone number?
AeroLeads has found 2 phone signal(s) with area code 781 for Daniel Quinlan at Equifax.
Where is Daniel Quinlan based?
Daniel Quinlan is based in Greater St. Louis, United States while working with Equifax.
What companies has Daniel Quinlan worked for?
Daniel Quinlan has worked for Equifax, Cerner Corporation, and Speartip.
Who are Daniel Quinlan's colleagues at Equifax?
Daniel Quinlan's colleagues at Equifax include David Vanderstraaten, Brenda Szukala, Rajalaxmi Jena, Jorge Abarca, and Mrutyunjaya Samantaray.
How can I contact Daniel Quinlan?
You can use AeroLeads to view verified contact signals for Daniel Quinlan at Equifax, including work email, phone, and LinkedIn data when available.
What schools did Daniel Quinlan attend?
Daniel Quinlan holds Masters, Applied Statistics, Analytics, & Data Science from University Of Kansas Medical Center.
What skills is Daniel Quinlan known for?
Daniel Quinlan is listed with skills including Technical Writing, Report Writing, Project Management, Communication, Healthcare Information Technology, Emr Training, Physician Alignment, and Software Project Management.
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