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Building a Culture of Experimentation to Speed Up Data-Driven Value

Posted Jul 05
# Culture of Experimentation
# Data-Driven Value
# Data-Driven Solutions
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SPEAKER
Delina Ivanova
Delina Ivanova
Delina Ivanova
Associate Director, Data @ HelloFresh

Delina has over 10 years of experience across data and analytics, consulting, and strategy with roles spanning financial services, public sector, and CPG industries. She is currently the Associate Director, Data & Insights at HelloFresh Canada where she leads a full-service data team, including data engineering, data science, and business intelligence and automation. She is also a Data Science and Machine Learning instructor in the professional development programs at the University of Toronto and the University of Waterloo.

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Delina has over 10 years of experience across data and analytics, consulting, and strategy with roles spanning financial services, public sector, and CPG industries. She is currently the Associate Director, Data & Insights at HelloFresh Canada where she leads a full-service data team, including data engineering, data science, and business intelligence and automation. She is also a Data Science and Machine Learning instructor in the professional development programs at the University of Toronto and the University of Waterloo.

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SUMMARY

Supply chain/manufacturing are prime areas where the use of data science/analytics/ ML is underdeveloped, and experimentation is required to collect data and enable data-driven solutions.

This talk encourages companies to conduct experiments and collect data over time in order to build accurate/scalable data-driven solutions.

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