Accelerating Energy Trading Analytics with Dash Enterprise

A special joint webinar with Uniper

Recorded on February 15, 2023

Access the Recording

As one of Europe’s leading gas companies and one of the world’s largest electricity producers, Uniper generates power in over 40 countries and manages a global energy trading portfolio. To adapt to radical market changes and competitor behavior, Uniper prioritizes digitalization, particularly in advanced analytics, automation, and algorithmic tools.

Uniper turned to Dash Enterprise to access a centralized app management platform that accommodates various Python workflows, seeing decreased deployment time from four weeks to nine minutes while maintaining security compliance.

Watch the recorded webinar to learn how Dash Enterprise enables the following:

App deployment without lengthy IT lead times associated with infrastructure provisioning and configuration
Integration with an existing automated CI/CD pipelines and single sign-on for user authentication, without manual operations
Collaboration within the Databricks Python notebook environment, resulting in a growing user base and an increasing number of data apps
Platform observability into the cloud-native Kubernetes architecture, granting greater power for administrators to track and control resource usage

Meet the Speakers

Volodymyr Sorokoumov

Volodymyr leads Platform Design and Operations team of Digital Trading at Uniper. During his tenure at the company, he has designed the company’s award-winning Azure data lake platform, implemented advanced analytics use cases like real-time analytics, and built numerous cloud-native applications focusing on hyperscaling, resilience, and high availability. Volodymyr also specializes in commodity and energy trading and is a Certified Business Analysis Professional (CBAP) and Energy Risk Professional (ERP).

Tunay Okumus

Tunay is an MLOps Engineer for Algo-Trading at Uniper. He designs and implements cloud-based machine learning solutions and data platforms for the company’s digital trading division. Previously, he developed computational models and simulation software in renewables energy topics (e.g. photovoltaics and lithium-ion batteries) via artificial neural networks and kinetic Monte Carlo method. Tunay holds a Master’s Degree in mechanical engineering from the Technical University of Braunschweig. He is passionate about combining his expertise in energy engineering and data technologies to create sustainable and data-driven business solutions.