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Lauren Burke

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Data Scientist, CoverMyMeds

Lauren Burke is a Data Scientist at CoverMyMeds, where she builds models and systems that improve understanding of user needs, enhance products, and discover opportunities. She began her data science career in the retail space, developing solutions across several areas including supply chain, inventory management, and enterprise business.

Outside of work, Lauren is an active member of both local and larger tech communities. As the Director of Operations of Women in Analytics, a global community that promotes visibility to women making an impact in the analytics space, her primary focus lies in strategy and community growth. She hosts the WIA After Hours podcast and is an Instructor of Business Analytics at Denison University's Denison Edge.

Lauren is an avid supporter of initiatives that foster enthusiasm for STEM and encourage the development of creative problem-solving skills. She serves as a Core Advisor on the Midwest Big Data Hub's Community Advisory Panel, a member of TECH CORPS' Regional Steering Committee, Chair of COSI's KINETIC Board, and a member of the scikit-learn Communication Team. She is the recipient of the inaugural Ohio Trailblazers Award, celebrating women transforming Ohio tech.

Bio from: Data Universe 2024

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Being a solitary data scientist can be lonely, whether in an embedded role or pioneering data science adoption within an organization. As you collaborate with individuals with varying business contexts, subject-matter expertise, and data backgrounds, there are strategies you can apply to set yourself up for success.

 In this session, Lauren Burke will demonstrate how solitary or siloed data scientists can thrive by gaining support and buy-in from key stakeholders. She'll cover the "road trip" strategy for identifying allies and finding quick wins to demonstrate value. She'll also discuss communicating the difference between traditional analytics and data science, as well as techniques for educating stakeholders and leveling up junior practitioners.

 Attendees will learn how to identify organizational needs and effectively scope projects, ensuring alignment with business objectives and defining clear measures of success while identifying opportunities to deliver incremental value. We'll cover the importance of creating end-user-focused documentation, where it should live, and how to use "SEO" to make your data science presence more visible.