Ceo
CurrentEnabling AI accuracy at enterprise scale. The Prediction Guard platform allows you to securely integrate your ground truth data with the latest LLMs and fact check model outputs against that data.
Dec 2022 - Present
AeroLeads people directory · profile
Daniel Whitenack Email & Phone Number
Founder and CEO, Podcast co-host
at
Prediction Guard
1 work email found
@telnyx.com
2 phones found area 888 and 312
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Founder and CEO, Podcast co-host
Location
Lafayette, Indiana Metropolitan Area, United States
Who is Daniel Whitenack? Overview
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Quick answer
Daniel Whitenack is listed as Founder and CEO, Podcast co-host at Prediction Guard, based in Lafayette, Indiana Metropolitan Area, United States. AeroLeads shows a work email signal at telnyx.com, phone signal with area code 888, 312, and a matched LinkedIn profile for Daniel Whitenack.
Daniel Whitenack previously worked as CEO at Prediction Guard and Co-host at Practical Ai Podcast. Daniel Whitenack holds Doctor Of Philosophy (Ph.D.), Mathematical/Computational Physics from Purdue University.
Company email context
Email format at Prediction Guard
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{first}@telnyx.com
86% confidence
AeroLeads found 1 current-domain work email signal for Daniel Whitenack. Compare company email patterns before reaching out.
Profile bio
About Daniel Whitenack
Daniel Whitenack is a Founder and CEO, Podcast co-host at Prediction Guard. He possess expertise in data analysis, data science, machine learning, python, big data and 19 more skills.
Listed skills include Data Analysis, Data Science, Machine Learning, Python, and 20 others.
Current workplace
Daniel Whitenack's current company
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10 roles
Daniel Whitenack work experience
A career timeline built from the work history available for this profile.
Co-Host
CurrentDiscussing the latest AI technology and trends. Practical AI is making artificial intelligence practical, productive & accessible to everyone, with 1.5M listens per year and more than 275 episodes.
Apr 2018 - Present
Interim Senior Operations Development Director
Working in an interim capacity with Antique Candle Co. to optimize some of their product development, supply chain, QA/ testing, and analytics processes. Helping them ship new products and processes that delight customers and internal stakeholders.
Apr 2023 - Aug 2023
Data Scientist
I worked with SIL to make sure that the benefits of AI and NLP extend to local language communities. SIL longs to see people flourishing in community using the languages they value most. This includes flourishing in the digital sphere where AI and Natural Language Processing (NLP) is increasingly driving the features of products.
Jun 2018 - Apr 2023
Lead Data Scientist And Advocate
I established machine learning and data science best practices for Pachyderm, wrote blog posts, gave talks, and evangelized Go/Docker/Kubernetes. I also worked with developers to get their data and ML/AI analyses into Pachyderm and contributed new features into the Pachyderm open source project.
Nov 2016 - May 2018
Data Science Mentor
I provided 1-on-1 mentorship to students in Thinkful's data science in python course. I help these students through a project-based course to learn best practices and hone their data science skills. I also provided group help to students through channels such as chat, workshops, Q+A sessions, etc.
Nov 2015 - Nov 2016
Data Scientist
At Telnyx, a cloud-based platform that offers access to carrier grade communication services, I helped build and lead a team of data scientists and engineers that developed data-driven microservices, high throughput data pipelines, real-time dashboards, and more.
May 2015 - Jun 2016
Technical Specialist
I provided excellent client service to companies developing data analytics, machine learning, database management, mobile, mapping, etc. applications. I worked directly with client representatives (both business and technical) to understand and flesh out new ideas, and I drafted comprehensive and understandable documents describing complex technical.
Dec 2012 - May 2015
Research Assistant
I advanced a new computational formalism from conception to debugging, practical implementation and application. I worked individually to develop the formalism and initiated an ongoing international collaboration to expediate implementation.
Aug 2008 - Dec 2012
High Performance Computing Intern
I benchmarked NCAR climate modeling applications on IBM Power architectures.
May 2008 - Aug 2008
2 education records
Daniel Whitenack education
Doctor Of Philosophy (Ph.D.), Mathematical/Computational Physics
Purdue University
Bachelor Of Science (B.S.), Engineering Physics
Colorado School Of Mines
FAQ
Frequently asked questions about Daniel Whitenack
Quick answers generated from the profile data available on this page.
What company does Daniel Whitenack work for?
Daniel Whitenack works for Prediction Guard.
What is Daniel Whitenack's role at Prediction Guard?
Daniel Whitenack is listed as Founder and CEO, Podcast co-host at Prediction Guard.
What is Daniel Whitenack's email address?
AeroLeads has found 1 work email signal at @telnyx.com for Daniel Whitenack at Prediction Guard.
What is Daniel Whitenack's phone number?
AeroLeads has found 2 phone signal(s) with area code 888, 312 for Daniel Whitenack at Prediction Guard.
Where is Daniel Whitenack based?
Daniel Whitenack is based in Lafayette, Indiana Metropolitan Area, United States while working with Prediction Guard.
What companies has Daniel Whitenack worked for?
Daniel Whitenack has worked for Prediction Guard, Practical Ai Podcast, Antique Candle Co.®, Sil International, and Pachyderm, Inc..
How can I contact Daniel Whitenack?
You can use AeroLeads to view verified contact signals for Daniel Whitenack at Prediction Guard, including work email, phone, and LinkedIn data when available.
What schools did Daniel Whitenack attend?
Daniel Whitenack holds Doctor Of Philosophy (Ph.D.), Mathematical/Computational Physics from Purdue University.
What skills is Daniel Whitenack known for?
Daniel Whitenack is listed with skills including Data Analysis, Data Science, Machine Learning, Python, Big Data, Matlab, Programming, and Golang.
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