Interview: Natalia Hernandez, Data Scientist at Foodpairing

I recently caught up with Natalia Hernandez, Data Scientist at Foodpairing, to highlight how her company’s data scientists mine public online data, which gives general trend insights to use consumer intelligence and molecular analysis of ingredients to forecast the next big flavors in the food industry. Natalia Hernandez is a Data Scientist, passionate about making sense of data by building algorithms that provide actionable insights as well as explaining complex technical concepts to people with non-technical background. insideBIGDATA: Please give us an overview of Foodpairing and the role of data collection and analysis in Consumer Flavor Intelligence Natalia Hernandez: Foodpairing is a fast-growing company from Bruges, Belgium. We forecast the next big trend in consumer flavor preference through a multi-dimensional approach to market research. We offer brands help in solving the…

Link to Full Article: Interview: Natalia Hernandez, Data Scientist at Foodpairing

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!