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Text Content

ACCELERATING ENERGY TRADING ANALYTICS WITH DASH ENTERPRISE

A SPECIAL JOINT WEBINAR WITH UNIPER

WEDNESDAY, FEBRUARY 15 @ 4PM CET

REGISTER

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I am a... Professional Student



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Title Student CXO Director/VP Product Manager Data Engineer Data Scientist
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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.

Join our upcoming 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.

 
 
 
 


WITH CUSTOMERS ACROSS THE FORTUNE 500, PLOTLY IS A CATEGORY-DEFINING LEADER IN
ENABLING DATA-DRIVEN DECISIONS FROM ADVANCED ANALYTICS, MACHINE LEARNING, AND
ARTIFICIAL INTELLIGENCE.