Combines over 7 years of expertise across data analytics, statistical modeling, data monetization, and applied data-centric creative problem solving, serving organizations in the digital advertising, tech, institutional, startup, and financial sectors. Well-versed in all aspects of social, statistical, behavioral, and economic analytics, and its implied impact on the quantifiable aspects of social and online behavior.
At Publicis I am tasked with building out Publicis North America's Data Science team and integrating an innovative culture of data decision making and creative data problem solving into the agency at large.
As the founding leader of this department I have been focused on strategic uses of data to solve our client's business problems. Solving these diverse problems requires creating, designing and overseeing building of new data methods and tools addressing macro-level business questions as well as micro-level online product optimizations. I also focus on mentoring team member's professional growth while leading data science integration into North America and global clients.
-Co-created new data tools and integrated them into the agency offerings generating significant additional revenue in FY 2016.
-Built a multi-disciplinary team of data scientists and behavioral scientists and merged with the Search Department creating a cross-functional hybrid data team.
-Participated as data lead in multiple new business pitches landing a number of large clients.
-Oversaw data science projects and staff integration into 12 existing clients across numerous verticals including CPG, automotive, pharmaceuticals and tech.
-Lectured on data monetization strategies as wells as Data and Ethics at SXSW and the NYC Data Science Academy.