Zacharias Voulgaris, PhD
Author, Data Mentor, Consultant, and Entrepreneur
About
I'm a data scientist and analytics consultant with a background in engineering and management. After my PhD in Machine Learning, I worked as a researcher in one of the top technical universities, Georgia Tech. Later on, I shifted to the private sector, eventually getting recruited by Microsoft as a Program manager.Throughout my career I have worked in various data-driven startups, developing multiple kinds of data products. Also, I have authored various books on data science and A.I. and coded a series of programs in these fields, and on cryptography. I have a solid understanding of machine learning, data engineering, and recommender systems, among other topics in the data science domain.A self-sufficient professional, I'm also a good team player, particularly keen on mentoring, and enthusiastic about expanding my knowledge and know-how. These days, I am a mentor at GrowthMentor & MentorCruise and a consultant at GLG.
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Author
In an effort to distill my experience in the data world, and help others navigate it, I have authored eight (8) non-fiction books, mostly technical. The last book is less technical and geared towards businesspeople. You can find them at the Technics Publications website.
You can view my latest book, Question-driven Data Projects here
If you enjoy shorter content, you can check out my Substack, Foxy Data Science
Apart from books, I've also developed a video course on data work and its relationship to business. You can find more about it at the dedicated mini-site.
Mentor
I offer professional mentoring to anyone interested in Data Science, Analytics, and Cybersecurity. For more information, use one of the following links:
Consultant
I offer professional consultations to anyone exploring Data Science or AI projects. To book a free introductory meeting, click below:
Consultation options on Payhip
Contact
Despite my busy schedule, I'm always up for networking. So, feel free to reach out to me, especially if you are interested in me participating in your podcast (which is hopefully relevant to my expertise) or collaborating with me on any AI-related projects, particularly TAI or XAI.