Talia Borodin is the founder of Amaro Science, a new kind of business dedicated to helping organizations implement data driven decision-making.
After receiving her MSc. in Mathematics, Ms. Borodin moved from Canada to Washington D.C. to work for IBM. Ms. Borodin left IBM two years later to build models to detect tax fraud before being swept up by the D.C. political machine. She is credited with building some of the first national micro-targeting models used in progressive politics. Her work helped pave the road for a new era in data-driven political campaigns.
Ms. Borodin then returned to her native Toronto to build and run the first Data Science team at Kobo, a global e-Reading company. After completely revising the way Kobo measures their business she decided to do the same for a broader audience and founded Amaro Science.
Ms. Borodin is also the founder and CEO of Borodin Research Inc. which houses her intellectual property in the fields of Big Data, Data Science and Analytics.
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