Dare to Data

I founded Dare to Data to formalize and structure the relationships I have with some of the world's leading companies to consult, support and empower them in their data and AI journey.

Current and past clients include PepsiCo, PUMA, Whirlpool, Nitto, Amazon Web Services, AtScale, EM360, O'Reilly Media, nexxworks, Aporia, Colquímica, DATAcated Plus, The Ravit Show, Ontotext, Growth Tribe, IBM / Databand, CoRise, SingleStore, Equals, Einblick, Impetus, Nexla, Starburst, ClearML, Nvidia, Dubai Future Foundation, ThriveDX, Global DIY-Summit, Afera, Prophecy, Listly, Dremio, amongst others.

Founder

LinkedIn

Over 65,000 learners to date! Building and teaching content as a part of the data course library, currently focused on empowering others to take full control of their data through the use of SQL as well as how to tap into the power of analytical thinking.

LinkedIn Learning Instructor

IE Business School

Delivering keynotes for the US, Spain, Canada, Portugal, Russia, Armenia, Georgia, Turkey, Azerbaijan, Jordan, Belgium, Luxembourg, Norway, Switzerland, Chile, Greece, Japan, South Korea, Nigeria, Egypt, Lebanon, China, Indonesia, Saudi Arabia, France, Cyprus & more.

International Speaker

Graduate-level courses taught primarily within the MBA programs covering data and artificial intelligence topics, as well as personal branding workshops.

Adjunct Professor, Department of Information Systems and Technology

Leading the Corporate Masters program for Saudi Aramco employees.

Academic Director, Saudi Aramco Master in Business Analytics and Big Data

Leading the online Executive program which explores the range of possibilities offered by using new technologies and aligning digital strategy with general strategy in a company.

Academic Director, Digital Strategy and New Technologies Executive Program

Porto Business School

Graduate and executive level courses taught in business strategy for data and artificial intelligence.

Adjunct Professor

ISDI

Launched, continue to coordinate and teach the Data & AI module within one of the flagship programs at ISDI - the Master in Internet Business in Madrid, Barcelona and online.

Data & AI Module Program Manager

Regularly lecturing in advanced analytics topics at the Masters level and Executive programs in ISDI, an international institution focused on digital transformation.

Lecturer

VN Campaign Partners

Partner

Google

Developing insights and tools to empower our teams to work smarter and our clients to get the most out of Waze Ads. Leading analytical studies and strategy across North America for some of our largest advertising verticals (Fuel, Auto Parts & Services) as well as non-endemic verticals such as Entertainment. Creating scalable data solutions via daily use of SQL, BigQuery, Looker, CARTO, GSheets.

Analytical Lead, Waze

As a part-time facilitator, teaching engineers & analysts how to apply statistical methods to big data problems (Hypothesis Testing, T-Tests, Multiple Linear Regression, Logistic Regression, Centered Moving Average, Causal Impact, K-Means Clustering).

Master Faculty - Data Science I

Leading complex data projects, automation and optimization with our most advanced international clients cross-office.

Data Specialist

#IamRemarkable is an initiative empowering women & underrepresented groups to speak openly about their accomplishments in the workplace & beyond, thereby breaking modesty norms & glass ceilings. Workshops hosted for the UN World Tourism Organization, Amadeus, CARTO, IE Business School, LastMinute, Teleperformance, Google Campus - Digitalizadas.

#IamRemarkable Facilitator

Combining Google Search data with advanced analytics and Cloud tools to drive business impact. Working with a $xxx-million client portfolio.

Analytical Consultant

Nielsen

Maintaining data integrity and leading projects in data process optimization, as well as supporting a migration to Big Data technologies (Google Suite). Delivering both internal and external seminars and training courses around data topics.

Expert Engineer in Project Development and Big Data

Graduate Intern: Associate Systems Engineer

Graduate Fellow

Data Whisperer ♦ Analytics Specialist & Tech Enthusiast ♦ Join My #bookaweekchallenge

📚 Follow & join my #bookaweekchallenge
📍 Current resident of Málaga, Spain & native of Charlotte, North Carolina

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Greek-American currently living in Spain, helping companies harness the power of data. Driven analytics professional & strong supporter of lifelong learning. I hope to bring advanced data technologies to the masses & exploit the potentials of emerging technologies. I am bilingual & passionate about international relations. Avid reader (bibliophile) & traveler. With trips to 60+ countries & first-hand experience working in a variety of cultures & languages, I enjoy & thrive when working in an international environment.

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Alongside my corporate work, I am a regular international speaker supporting data analytics, emerging technologies & women in STEM. Some of my latest involvements include:
● Guest appearances on more than 30 podcasts such as SuperDataScience, Ken's Nearest Neighbors, How to Get An Analytics Job, Driven by Data, Humans of Data Science, Present Beyond Measure, LightsOnData & more.
● Interview features, guest lecturer, panelist and event host!
● Keynote speeches delivered regularly since 2018 across 15+ countries in-person, virtually spanning the globe, with audiences surpassing 1,000+. Top involvements include:
→ → The WPO Annual Conference 2022 in Montreal CA, "The Information Age: Digitized & Datafied"
→ → Bloom Tech Forum 2021, "Harnessing the Power of Data for a Better Tomorrow"
→ → The WPO Annual Conference 2021 in Nashville TN, “Data Science: A Double-Edged Sword"
→ → The World Knowledge Forum 2021, “The Information Age: Digitized & Datafied"
→ → The Global DIY-Summit 2021, "The Future of Retail: Data as a Differentiator"
→ → Africa Communications Week 2021, “The Shift toward Data-Driven Marketing & Communications” 
→ → DATAcated Conference 2021, “From zero to hero: a simple explanation of ML"
→ → DATAcated Conference 2020, “SQL isn't going anywhere"
→ → Quantic EMBA Conference 2020, “The Truth behind the Buzz- Emerging Data Technologies for the 21st Century"
→ → The Smart Future World Expo 2019 in Istanbul Turkey, "Harnessing the Power of Big Data"
→ → TechIE 2019 in Madrid Spain, "Big Data & ML Intro Workshop"
→ →  IE-UCOM Big Data Day 2018 in Yerevan Armenia, "Harnessing the Power of Big Data"

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For further opportunities (podcasts, events, etc.) in my interested fields, feel free to contact me directly.

The opinions stated here are my own, not those of my employers.

*Note that I may earn a small commission for sales through my affiliate links shared here.

Christina Stathopoulos, MSc

Joe Reis 🤓

Chief Operating Officer

DeepLearning.AI

Instructor

ThinkQuick, LLC

Data engineering and architecture consulting.

Owner

Ternary Data

Ternary Data are veteran data engineers and “recovering data scientists” who have firsthand experience with the challenges of succeeding with data. We offer practical data engineering advice.

O'Reilly Media

Author

University of Utah

Big Squid, Inc.

* Consulted with Big Squid clients and sales prospects about how to implement and leverage data science and machine learning within their organization.
* Built and implemented data science curriculum and training for Big Squid's sales and consulting team.
* Advised engineering and product team on data science best practices, infrastructure, and algorithms.
* Engineered data science and predictive analytics solutions for clients.
* Certified Domo technical consultant.

Director of Predictive Analytics

Teem

* Built Teem's (formerly Eventboard, now WeWork) analytics and data platform from the ground up. The insights and data help optimize and empower the workplaces of many smart companies including Uber, LinkedIn, Netflix, Dropbox, Airbnb, Palantir, Pinterest, Twitter, etc, etc, etc.
* Built and managed a team of nearly a dozen brilliant engineers and data scientists.
* Oversaw all data science and data engineering initiatives.

Lead engineer - Analytics and Data Science

JobDash

* Refactored front end of application from Django into Angular
* Enhanced company's analytics capabilities via internal BI 
* Core technologies used: Django, Python, Angular

Software Engineer

Pure Predictive

* Worked on Pure Predictive, a cutting edge machine learning application. Focused heavily on solving the fundamental problem in which data scientists spending 80%+ of their time on preprocessing and munging data, and only a fraction of their time on analysis. 

* Core development and invention of automated data preprocessing and feature selection tools to transform data into machine readable format. End result: reduced the time spent on data science pre-processing and data munging from 20+ hours to around 1 minute.

* Project lead of a team consisting of top notch data scientists, senior software engineers, and Math PhDs.

* Heavily involved in machine learning.

* Technologies used: Python, Java, Hadoop, AWS, Unix

Skullcandy Inc.

* Demand planning, forecasting, and global supply chain management.

* Worked with key Asian vendors.

* Integrated Astro's supply and demand components into Skullcandy.

* Implemented MRP, forecasting processes, and supply chain management processes for their gaming division.

* Supported global product launches into major Consumer Electronics retailers (Best Buy, Target, Gamestop, and key international partners). 

* Key to the success of the hottest gaming headset of 2012 - the Astro A50.

* Experience with SAP, Oracle Demantra.

Operations/Supply Chain

Best-Selling Author | Data Engineer and Architect | Recovering Data Scientist ™ | Global Keynote Speaker | Professor | Podcaster & Content Creator

Helping data leaders and teams build systems that scale, with clarity, real-world insight, and a healthy dose of skepticism toward hype.

If you’re navigating the challenges of modern data and AI engineering, you’re not alone. Whether it’s designing resilient pipelines, managing organizational chaos, or separating signal from noise in the AI era, the goal is simple: get data from source to value, reliably and efficiently.

That’s where I come in:
- Co-author of the bestselling Fundamentals of Data Engineering (O’Reilly), used by 100,000+ professionals worldwide
- Instructor of Coursera’s top-rated Data Engineering course
- Host of a popular newsletter, podcast, and video series focused on real talk in data and AI
- Advisor and educator to top data and AI leaders across startups, enterprises, and VC firms

Looking to make better decisions with your data stack, your team, or your roadmap? Shoot me a message and let's chat.

Looking to make better decisions with your data stack, your team, or your roadmap? Subscribe to my newsletter for regular updates: https://joereis.substack.com/

AI agents will operate at a scale that humans won't match, and will need new ways of working with data.

In this episode, Ciro Greco (CEO @ bauplan) and I chat about why AI agents need a new lakehouse paradigm, next-gen "Git for data", and much more.

Links in the comments.

Joe Reis

If you’re looking for the world‘s best virtual conference on data observability, reliability, and trust by design, look no further than Sifflet’s upcoming Signals Conference.

I’ll be speaking about how you can build trust by design into your architecture with data modeling. And there are lots of other awesome talks by amazing practitioners and leaders.

When: November 17 to 20
Where: Virtual (link in the comments)

See you there!

People, Process, Technology, and...Data.

Data is the fourth pillar of any organization nowadays. Listen to this awesome chat with Sujay Dutta and Siddharth Rajagopal as we discuss their new book, Data as the Fourth Pillar, the latest trends in AI in the enterprise, and much, much more.

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The Battle

Christina Stathopoulos, MSc

Joe Reis 🤓

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The Battle

Christina Stathopoulos, MSc

Joe Reis 🤓

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Joe Reis 🤓's LinkedIn Performance

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