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Coady Cameron is a distinguished figure in the data analytics and business intelligence landscape, best known as a co-founder and former Chief Analytics Officer of Mode Analytics. He played an instrumental role in shaping Mode into a leading collaborative data science platform, empowering analysts and data scientists to explore data, build visualizations, and share insights effectively. With a strong background in analytics and a passion for making data accessible and actionable, Coady has focused on building tools and communities that help organizations leverage data for better decision-making. His expertise spans data strategy, product development for analytics tools, and fostering data-driven cultures. Following Mode's acquisition by ThoughtSpot in 2023, Coady continues to be a respected voice in the data community.
Coady Cameron's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Mode Analytics in 2013, a pioneering collaborative data science platform that combined SQL, Python/R, and visualization tools, significantly impacting how teams work with data.
As a key leader and Chief Analytics Officer, he guided Mode's growth and product strategy, culminating in its successful acquisition by ThoughtSpot in June 2023, which aimed to create a comprehensive modern analytics cloud.
Established himself as a prominent thought leader through insightful articles, particularly on his Medium blog, discussing topics like data team structures, analytics workflows, and the future of data tools.
Advocated for and built tools that foster collaboration between data analysts, data scientists, and business stakeholders, breaking down silos and improving the speed and quality of insights.
University of New Brunswick - Year 2012
University of New Brunswick - Year 2008
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TotalPave Inc. develops and provides affordable and innovative pavement condition data collection and analysis solutions. They utilize existing smartphone technology combined with their proprietary software and AI to enable municipalities, engineering firms, and government agencies to assess road conditions quickly and cost-effectively. Their system helps prioritize maintenance, manage budgets, and improve overall road network quality by providing objective, actionable data on pavement distresses like cracking, rutting, and roughness.
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