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EPAM Autumn Data Conference 2019

19 October, 2019
!FESTrepublic
Staroznesenska St., 24, Lviv, Ukraine
10:00 - 16:00

EPAM Lviv invites Big Data/Data Science/BA/PM experts to join the annual EPAM Autumn Data Conference taking place on October 19.

We will discuss our own Big Data experiences, look at examples of business transformation using data insights, and sum up the achievements of the EPAM Big Data Competency Center.

All participants will find themselves in a friendly atmosphere, full of networking opportunities – and the chance to receive several prizes/gifts.

Who will be interested in EPAM Autumn Data Conference?

  • Software engineers
  • Big Data Consultants
  • Data Scientists
  • Product Managers
  • Business Analysts, etc.

Agenda

10:00 – 10:30: Registration

10:30 – 10:50: “EPAM Development Strategy and Challenges” - ANDRIY TROFIMOV,  Director, Software Engineering @ EPAM Ukraine, Head of Lviv Delivery Office

10:55 – 11:15: “Intelligence Enterprise Practice Overview” - TARAS MYKLUSH, Director, Software Engineering @ EPAM Ukraine

11:20 – 11:55: “IEP Projects Breakdown” - BOHDAN HAY, Software Engineering Manager @ EPAM Ukraine

12:00 – 12:45: “Data Engineering in 2019” - OLEH HRYNYK, Senior Solution Architect @ EPAM Ukraine

13:00 – 13:45: “Data Science from the Trenches: Getting Your Client Data Science Ready” - JONATHAN RIOUX,  Lead Data Scientist @EPAM Canada

14:00 – 15:00: Lunch

15:00 – 15:45: “Computer Vision on the Edge” - RENAT GILMANOV, Senior Solution Architect @ EPAM Ukraine

16:00 – 16:45: “BigData in Genetics” (or + “or a Data Lake in My Pocket”) - VOLODYMYR FEDORCHUK, Project Manager @EPAM Ukraine

17:00 – 17:45: “Analytics with Azure Databricks. The Way to Success, and Challenges” - DMYTRO YATSYUK, Lead Systems Engineer @ EPAM Saint Petersburg

 

Speakers

Andriy Trofimov

Director, Software Engineering @ EPAM Ukraine

Head of Lviv Delivery Office

Topic: “EPAM Development Strategy and Challenges”

Taras Myklush

Director, Software Engineering @ EPAM Ukraine

Topic: “Intelligence Enterprise Practice Overview”  


Bohdan Hay

Software Engineering Manager @ EPAM Ukraine

 

Topic

“IEP projects breakdown”

Topic description

TBD


Jonathan Rioux 

Lead Data Scientist @ EPAM Canada

Former insurance professional, reformed data scientist, I’ve been with many companies on their journey to “data science readiness”. I’ve been doing research on the human factors of machine learning, such as privacy, interpretability and adoption, as well as their impact on model performance.

Topic

“Data Science from the trenches: getting your client data science ready”

Topic description

Data science is the cool kid in the block: every company wants to do it. Then why is it so hard to go from idea to production? Most often, client ambitions don’t match their ability to execute, and they often misunderstand the journey from where they are to where they should be. This talk will focus on common hurdles, and how you can be a key part in ideating, executing and delivering amazing data science projects.


Dmytro Yatsyuk

Lead Systems Engineer @ EPAM Saint Petersburg

  • I have 15+ years of supporting huge production environments,  5 years as Lead L3 support.
  • For the last 5 years have worked intensively with and gained expertise in Apache Hadoop products.
Topic

“Analytics with Azure Databricks. The way to success, and challenge”

Topic description

In my talk I want to discuss business drivers and goals, functional and non-functional requirements,  solution Architecture overview (technology stack and nuances,  technology stack and nuances based on HDI cluster,  Azure DevOps and Databricks flow, Azure DevOps and running job on Databricks), delivered Business value, lessons learned (lessons learned: communications, lessons learned: monitoring, lessons learned: cloud maintenance, lessons learned: Databricks integration and automation), why the project is interesting to me.


Volodymyr Fedorchuk

Project Manager @ EPAM Ukraine

16+ years of commercial experience in software development starting from system engineering, software development, to delivery management. In BigData since 2013, focused on health care and genetic projects.

Topic

“BigData in Genetics” (or + “or a data lake in my pocket”)

Topic description
  1. What is genetic data
  2. Computer code vs genetic code
  3. Nature/characteristics of genetic data
  4. Data access patterns
  5. Technical solutions

 


Renat Gilmanov

Senior Solution Architect @ EPAM Ukraine

Last four years have been busy developing a next-generation e-commerce search for a huge retail company. Interested in simplicity and computer vision.

Topic

“Computer vision on the edge”

Topic description

Computer vision continues to expand its influence and to transform industries. Digital cameras are cheap and rapidly becoming ubiquitous. There are many aspects to consider regarding how this process will change the way we live. Will it make our lives not only easier but also more interesting?

Video


Oleh Hrynyk

Senior Solution Architect @ EPAM Ukraine

Oleh has spent more than 12 years building distributed systems, defining technical landscapes and architecting entire solutions while considering all aspects including security, HA, performance and adaptability. Over the course of his career, he has tried various technical stacks, including dotnet, eCommerce, front-end, rdbms, API-to-data and ml. Currently, Oleh is coordinating data and architecture competencies in Lviv, but he’s still managing to find time for hands-on coding while working on consulting, architecture activities and more.

Topic

“DATA ENGINEERING IN 2019”

Topic description

In my talk I want to discuss how people solve data-related problems and deal with complexities. How to build a modern data platform and what the prerequisites for this are. As not always you can start building data platform, which might lead to slow dev cycles and/or team idling.

  • Overview of trends in data engineering
  • Clear data engineering misconceptions
  • Review data platform components
  • Deep dive into data engineering solutions