Alex Castrounis founded InnoArchiTech, a company that provides education, training, writing, and speaking services on advanced analytics, data science, and state-of-the-art technologies, including creating successful businesses, products, and services built on these fields.
His expertise is in helping people and businesses transform data into value, which is done by leveraging advanced analytics, artificial intelligence, machine learning, and data science techniques.
Alex is also the creator and host of the Pod as a Service podcast, a podcast on emerging, trending, and state-of-the-art advanced analytics, software, and hardware technologies. Additionally, Alex is a book author and online training course creator and instructor on AI and machine learning for O’Reilly Media.
At his day job, Alex is the vice president of product and advanced analytics at Rocket Wagon. He has held leadership roles in data science and advanced analytics, software architecture and engineering, and product management.
Before working in tech, Alex worked ten years as a race strategist, data scientist, and vehicle dynamicist for IndyCar racing teams and the Indianapolis 500. He was a race strategist for over 100 races worldwide, including six Indianapolis 500s. During his racing career, Alex worked with notable drivers and team owners such as Michael Andretti, Al Unser Jr., Will Power, Jimmy Vasser, Danica Patrick, and Tony Kanaan.
Education-wise, Alex received a Master of Science degree (MS) with Distinction in Mathematics, and also completed all course requirements for a second master’s degree in Geophysics.
Alex is currently focused on leading, educating, writing, speaking, and mentoring on fields such as artificial intelligence, machine learning, data science, and IoT. He is very interested in helping to increase diversity and decrease the gender gap often seen in the technology industry, and also promotes STEAM careers to students through speaking engagements and writing.
To Learn more about Alex’s background, projects, and key accomplishments, please visit his portfolio page.
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For additional technical learning, visit Alex’s curated set of resources for data science, machine learning, artificial intelligence (AI), big data, internet of things (IoT), and more. Please ‘Star’ the repository if you find it to be useful.