John Sukup Email & Phone Number
@bcbsil.com
2 phones found area 574 and 317
LinkedIn matched
Who is John Sukup? Overview
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John Sukup is listed as Founder at Stealth Startup, a company with 70 employees, based in United States, United States, United States. AeroLeads shows a work email signal at bcbsil.com, phone signal with area code 574, 317, and a matched LinkedIn profile for John Sukup.
John Sukup previously worked as Managing Director and Founder at Expected X and Head of Data and AI at M-Vision, Inc. John Sukup holds Ms, Organizational Leadership And Supervision from Purdue University.
Email format at Stealth Startup
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AeroLeads found 1 current-domain work email signal for John Sukup. Compare company email patterns before reaching out.
About John Sukup
John Sukup is a data professional. His experience working with data spans from consumer market research to data science to machine learning and AI. He has over a decade of experience in AI/ML cloud engineering and consultant at multiple international organizations including Levi Strauss, Cisco, Springboard, Anaconda, and Ipsos. He has acted as the lead professional trainer for Fortune 100 organizations and has been featured in Forbes, Oracle, and Data Science Central. He currently acts as Managing Director and Founder at Expected X, an AI Solution Design and Consultancy as well as cohost of the Unriveted Podcast with his colleague Martin Miller.Ready to start your journey toward AI adoption? Book an introductory call today: https://calendly.com/expectedx/introductory-callSubscribe to the Unriveted Podcast: https://www.youtube.com/@unrivetedWeb: expectedx.comPhone: 415-805-6535Email: john@expectedx.com
Listed skills include Market Research, Data Analysis, Analytics, Segmentation, and 18 others.
John Sukup's current company
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John Sukup work experience
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Managing Director And Founder
Current- AI Solution Design: Tailored AI strategies that fit seamlessly into your business model, powered by Google Cloud's Vertex AI. We design, develop, and deploy scalable AI solutions that not only solve challenges but also.
- AI Consulting: Expert guidance at every step of your AI journey. From initial assessment to full-scale implementation, our consultants are here to ensure your AI initiatives succeed with maximum impact and minimal risk.
- Professional Training: Elevate your team's AI expertise. Our comprehensive training programs are crafted to enhance your understanding and skills in artificial intelligence, preparing you for the demands of future.
- US Department of Energy (Client): Lead data scientist for Strategic Petroleum Reserve Gulf Coast Hurricane Prediction Model
- Levi Strauss & Co. (Client): Led development of the Demand Planning team’s Computer Vision and Natural Language Processing (NLP) product similarity-matching model resulting in reduced customer shipping time and.
- Cisco Systems (Client): Training and curriculum designer for several live, in-person training classes including: "ML Fundamentals with Python," "Deep Learning Fundamentals with Python," "Developing a Data Strategy," etc.
Head Of Data And Ai
Current
Author And Podcast Cohost
Current
Lead Ai/Ml Release Engineer
- Lead machine learning engineer for Demand Planning team, Computer Vision, Natural Language Processing (NLP).
- Developed process standardization and documentation best practices across data science, ML engineering, and MLOps teams resulting in improved team collaboration.
- Managed release process resulting in a systematized approach to enterprise machine learning model deployment.
- Collaborated with Director of Machine Learning Production and Support Operations for developing and socializing the team charter resulting in greater team cohesion between data engineering, data science, ML.
- Lead developer for machine learning project support onboarding including knowledge transfer, documentation standards, and hyper care for the Data and Artificial Intelligence Team
- Machine Learning Quality Assurance team lead for the development and implementation of model performance metric monitoring across e-commerce recommendation engines
Startup Mentor
- Provided advice and guidance for Cohort 12 regarding data strategy and machine learning
Senior Research Analyst - Consumer Activation
- Product Manager of $14M Syndicated Research and Primary Research custom studies in energy/utility, consumer technology, consumer finance, P&C insurance, and health insurance industries
Senior Market Research Analyst - Market Research & Strategy
Research Associate/Project Director I/Project Director Ii
Assistant Project Manager, Client Research Services
John Sukup education
Ms, Organizational Leadership And Supervision
Bs, Organizational Leadership And Supervision
Certification, Data Science
Certification, Principles Of Marketing Research
Frequently asked questions about John Sukup
Quick answers generated from the profile data available on this page.
What company does John Sukup work for?
John Sukup works for Stealth Startup.
What is John Sukup's role at Stealth Startup?
John Sukup is listed as Founder at Stealth Startup.
What is John Sukup's email address?
AeroLeads has found 1 work email signal at @bcbsil.com for John Sukup at Stealth Startup.
What is John Sukup's phone number?
AeroLeads has found 2 phone signal(s) with area code 574, 317 for John Sukup at Stealth Startup.
Where is John Sukup based?
John Sukup is based in United States, United States, United States while working with Stealth Startup.
What companies has John Sukup worked for?
John Sukup has worked for Stealth Startup, Expected X, M-Vision, Inc, Unriveted Media, and Levi Strauss & Co..
How can I contact John Sukup?
You can use AeroLeads to view verified contact signals for John Sukup at Stealth Startup, including work email, phone, and LinkedIn data when available.
What schools did John Sukup attend?
John Sukup holds Ms, Organizational Leadership And Supervision from Purdue University.
What skills is John Sukup known for?
John Sukup is listed with skills including Market Research, Data Analysis, Analytics, Segmentation, Strategy, Quantitative Research, Statistical Modeling, and Machine Learning.
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