Hands-on Workshop on Blockchain Data & Analytics

NOTE: When registering, please fill out our pre-Meetup survey: https://form.jotform.com/90706289431157

Our program for 2019 begins with an exciting hands-on workshop on blockchain data and analytics, led by Stavros Zervoudakis, a Chief Data Scientist who has 17 years of industry experience.

Stavros will review work that was completed recently on applying machine learning algorithms to solve a classification problem with blockchain addresses and smart contracts.

He will conduct a hands-on demonstration of how to query real blockchain data, train the model, and generate output from the model. He will discuss how solving this problem creates value in security-related analytics, user experience optimization and trend analysis.

Space is limited, so sign up early. We request that you cancel RSVP to give others your spot if you cannot make it.

This event is based on a prior meetup titled "Machine Learning algorithms for the classification of blockchain addresses", and is using data from the Blockchain data warehouse hosted by http://www.Bloxy.info , a lab provided by Bloqchain Science .

Bloxy.info is a source of open, reliable, verifiable and objective data about the blockchain. The data is directly extracted from the public blockchain node and processed to be applicable for data mining, information retrieval, graph analysis, machine learning and other well known computer technologies. The data is available as an open interface for any usage and querying by user.

Following Along on your Laptop

If you like to follow along, bring your laptop. You only need a browser as we will leverage cloud servers. In order to benefit, you should be comfortable with rudimentary coding and data analysis; no knowledge of blockchains is assumed.

Speaker Bio

Stavros Zervoudakis is an Applied Data Analytics leader, AI Solutions Architect, Chief Data Scientist and a Strategy Implementation executive. With over 17 years hands-on experience, Stavros leads initiatives in Systems Integration, Process Reengineering, Optimization & User Experience, Machine Learning, Deep Learning, and Natural Language Processing & Understanding.

As a technologist, Stavros provides corporate executives with clarity and guidance in navigating highly technical AI and data science matters. Utilizing advanced methodologies, tools and best practices, he supports C-Suite decision making with crucial AI and data science insights to successfully implement corporate vision, strategic development and business intelligence solutions. His experience includes oversight, implementation and management of Processes, Programs, Projects, and Data Products for multinational Fortune 100 firms and top startups.

Adjunct data science professor at NYU, boot camp instructor on Machine Learning and Python and adviser to startups. Participated in a panel on recent conferences on AI as it applies to the Finance and Shipping industries. Runs a series of workshops at New York University on Blockchain Analytics and AI. Holds a master’s degree in electrical engineering (neural networks) from NJIT.

Stavros is your go-to leader to transform your AI vision onto a ROI production-grade product and service.