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Lars Stenstedt
Business Development executive enabling high technology solutions for water, power infrastructure
Lars Stenstedt is a seasoned professional with extensive experience in high technology business development and data science. He currently works in Data Science Services at V&A Consulting Engineers, Inc., as indicated by your query.2
Professional Background
Lars Stenstedt has over 35 years of experience in the high-tech industry, with a focus on bringing technology-driven solutions to infrastructure.2 His expertise spans several areas:
- Business Development: He has a strong background in sales and business development, particularly in big data and cloud computing environments.1
- Engineering: Stenstedt holds a Bachelor of Science in Mechanical Engineering from Stanford University.1
- Data Science: He is passionate about using data science tools and techniques to analyze data and solve complex problems.3
Career Highlights
- Co-founder and COO: Lars was a co-founder and Chief Operating Officer (COO) of Fracta, a company that likely focuses on technology solutions for infrastructure.1
- Current Role: He is now working in Data Science Services at V&A Consulting Engineers, Inc.
- Infrastructure Focus: Throughout his career, Stenstedt has been involved in enabling high-technology solutions for water, wastewater, and power infrastructure.45
Education
- Bachelor of Science in Mechanical Engineering from Stanford University
- MBA from the Haas School of Business, University of California, Berkeley1
Interests and Expertise
Lars Stenstedt is known for his interest in cutting-edge technologies and their applications:
- He advocates for the use of tools like Dataiku and Python for data analysis, moving beyond traditional Excel-based approaches.3
- He has shown interest in the potential of Large Language Models (LLMs) like ChatGPT for programming and data analysis.3
Lars Stenstedt's LinkedIn profile (username: stenstedt) likely provides more detailed information about his professional journey and current activities in the field of data science and infrastructure technology.