// Abstract

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.

// Bio

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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// Related Links

The Discourses of Epictetus book: https://www.amazon.com/Discourses-Epictetus/dp/1537427180

The Pyramid Principle: Logic in Writing and Thinking book by Barbara Minto:

https://www.amazon.com/Pyramid-Principle-Logic-Writing-Thinking/dp/0273710516

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Timestamps:

[00:00] Introduction to Delina Ivanova

[00:35] Takeaways

[03:46] Looking for People to organize local Meetups!

[04:30] Delina's career trajectories and growth to the corporate schema

[10:02] Telling stories with data

[13:23] Tricks for being a translator from the business side to data teams

[15:32] Technical engineering management and Delina's day-to-day role

[20:40] Giving up day-to-day individual contributing work and coding

[23:33] Good leadership for technical work

[31:05] Growing team growing productivity

[32:55] Pressured to grow

[35:23] HelloFresh

[39:39] Challenges of e-commerce, CPG, Logistics, and grocery combined

[41:08] Cultural differences

[46:04] Rapid fire session

[52:20] Wrap up