Machine Learning in Fintech & Blockchain meets Big Data

Hello wonderful big data developers and enthusiasts. We hope this email finds everyone well!

We are happy to announce our last (sixth) event for 2017 which will take place next Wednesday, December 27, 2017 at The Cube Athens. This time our agenda will be about Fintech and Blockchain in the context of Big Data. Both speakers have a long international experience, living and working abroad for many years, as well as a big expertise in a number of domains, including but not limited to Finance, Fintech, Machine Learning, Data Science, Blockchain, Data Engineering and Big Data. This is an event you don’t want to miss! More about the talks bellow.

The event will start at 7:00 PM and will take place at The Cube Athens (Kleisovis 8, Athens[masked], Greece).

We are really looking forward to seeing you there and don’t forget to spread the word!

Adrianos ( | Euangelos ( | Stavros (


1st Talk:

Challenges of ML-based solutions for credit risk assessment

End-to-end fully automated machine-learning-based decision engines for credit risk assessment present several challenges. Scientific, engineering, financial, regulatory. In this presentation we will focus mainly on the scientific challenges and we will briefly touch upon some of the engineering ones. What data to collect and how to process them, what machine-learning algorithms to use, how to evaluate the models, how to achieve high performance, how to maintain and monitor the engines in production are a few questions that will be answered. If time permits, we will dive deeper into feature selection and data source evaluation, concept drift and reject inference mitigation, transfer, active and reinforcement learning, growth vs risk trade-off and pricing strategy.

Konstantinos Papakonstantinou ( has a proven track record of managing data science teams and developing data products in high-tech and fintech organizations. At Kreditech (, he built from ground up and is currently directing the “Data Science Lab”, a team that has prototyped and productionized machine-learning-based solutions for credit risk management, product personalization, customer acquisition and retention. Konstantinos holds a MSc in Electrical Engineering from the University of Southern California and a PhD in Statistical Signal Processing from Telecom ParisTech.

2nd Talk:

Beyond Bitcoin; Blockchain technologies and how they disrupt every industry

Bitcoin proved that open-source software, with open data and open infrastructure, can manage trillions of dollars without a single glitch. In this presentation, we will investigate the technologies behind Bitcoin and Ethereum and we will see how they promise to disrupt every major industry by bringing significant benefits over traditional infrastructure.

Dimitrios Kouzis-Loukas ( studied Applied Mathematics and Physics in Athens and a decade later ended up designing low-latency distributed infrastructure for financial applications in New York. He enjoys working on challenging, high-impact problems and appreciates simple, elegant and pragmatic solutions.


7:00 – Socialize
7:25 – Welcome
7:30 – 1st Talk
8:15 – 2nd Talk
9:00 – Drinks & Snacks

We are always looking for speakers for our meetups. If you would like to give a talk please contact Adrianos (, Euangelos (, or Stavros (