If you experience issues with a vTools.eNotice mailing that originates from vTools.Events, please contact staff for assistance.
Data Engineers and Data Scientists in Data Analytics World
Data Engineers and Data Scientists in Data Analytics World
An illuminating DUAL speaker talk by practicing Data Specialists, this will cover a wide agenda of topics ranging from insights about data engineering, roles and responsibilities, building a data lake, skillset required, high-impact applications in manufacturing, essential tools & technologies, building the right team/culture, ensuring trust & compliance and finally demonstrating value plus the future outlook.
Date and Time
Location
Hosts
Registration
Speakers
Naga
Data Engineers and Data Scientists in Data Analytics World
Biography:
Nagadithya Nookala is a results-oriented leader leveraging 15 years of experience in data analytics, enterprise data management, product management, and program/project leadership to drive insights-driven decision making. Successfully translate business strategy into impactful technology solutions, delivering complex global programs across education, media, automotive and financial services sectors. Expertise includes business case development, solution design, and driving product vision, roadmaps, and user journeys.
Sanjay
Data Engineers and Data Scientists in Data Analytics World
Biography:
Sanjay is a results-oriented leader leveraging over 15 years of experience in data science, manufacturing process engineering, product development, and program leadership to drive insights-driven decision-making. He has successfully translated business strategy into impactful technology solutions, delivering complex global programs across the Aerospace, Automotive, and Manufacturing sectors. His expertise includes end-to-end solution design leveraging Data Science related technologies, alongside business case development and driving product vision
Agenda
Agenda:
(Data Engineer perspective)
• Insights about Data Engineering
• Roles and responsibilities of a Data Engineer in Data Analytics projects
• Key aspects and focus areas for a Data Engineer to build a successful Data Lake platform
• Skillset required to become a Data Engineer and outlook
Agenda:
(Data Scientist)
• Vision & Core Strategy
• Key Challenges & Data Readiness
• High-Impact Applications in Manufacturing
• Transforming Quality Control
• Essential Technologies & Tools
• Building the Right Team & Culture
• Ensuring Trust & Compliance
• Demonstrating Value & Scaling Success
• Future Outlook
An IEEE Southeastern Michigan Computer Society Technical Chapter Event
Media
FLYER - Data Engineer/Analyst/Scientist | Flyer - Data Engineer/Analyst/Scientist | 359.76 KiB |
Map of LTU | Map of LTU with Building marked | 375.54 KiB |