Natalia brings deep expertise in artificial intelligence and machine learning to challenging business problems. A physicist by training, she became a data science and analytics executive, building and scaling data teams in industries as diverse as healthcare, management consulting, e-commerce, retail, fintech, and agtech.

In addition to the diversity of industries with which she has gained experience, Natalia is familiar with the differences in the data and artificial intelligence (AI) needs at large, well-established companies versus smaller start-ups. Natalia’s clients benefit from her skills as a hands-on leader with cutting-edge technical expertise that enables her to deploy the right solution for the right problem regardless of technical challenges.

Key Engagements:

  • Served as vice president of data science at Infinite Acres, an innovative multinational vertical-farming start-up that disrupted the agtech sector; built a data science and analytics team that supplied data-driven insights and AI-based solutions to all areas of the business; solutions included supply-and-demand forecasting and optimization, Internet of Things analytics, and computer vision predictive modeling.​
  • Managed a data science team at EarnIn, an innovative fintech start-up in the earned-wage access space; delivered customer churn models, computer-vision-based document processing approaches, and other predictive analytics solutions.​
  • Served as director of data science at 84.51° a retail data science, insights, and media company that helps Kroger, consumer-packaged-goods companies, and affiliated partners; developed and deployed customer loyalty and digital personalization solutions based on natural language processing and other machine-learning methods.​
  • Was a Fast Company World Changing Ideas in AI+Data finalist for geospatial modeling of food deserts.​
  • Developed a successful research program that applied machine-learning solutions to healthcare challenges at Cincinnati Children’s Hospital Medical Center.