04-27, 11:00–11:45 (America/Los_Angeles), Kodiak Theatre
Six Sigma is a proven, data-driven methodology for continuous improvement, and data science is a relatively new field with exciting potential. Together, both go hand in hand to help organizations search for truth in data to improve their processes. The use of data science in the manufacturing industry is redefining industrial precision when paired with Six Sigma.
Nearly half of the Fortune 500 companies have adopted the Six Sigma methodology for their organizations. The DMAIC (Define, Measure, Analyze, Improve and Control) improvement cycle is the core tool used to drive Six Sigma projects. By applying it, organizations are able to reduce variation and limit defect levels to less than 3.4 parts per million.
In this talk, we will introduce you to the fundamentals of combining Six Sigma with data science.
- How Six Sigma works
- DMAIC improvement cycle
- Leveraging data science
By the end of the talk, you will gain insights into how to incorporate your data science skills into Six Sigma projects.
No previous knowledge expected
Eloisa is a Data Scientist and Tech Community Organizer of PyData by NumFOCUS, PyLadies and Women Techmakers Seattle. Founder of Women in Data Science conferences in the Seattle area. As an active member in the tech community, Eloisa collaborates with nonprofit tech organizations and enterprises to promote diversity and inclusion programs to support women in the field.
Six Sigma certified, with 8+ years of practical experience applying statistical analysis and models for improving KPIs at Fortune 500 companies. Eloisa has an expertise in enterprise customer negotiation, involving multi-million dollar projects for the manufacturing industry, her portfolio includes clients such as Fiat, Chrysler and Volkswagen. @eloeliasds | linkedin.com/in/eloeliasds