Ismael Tesisteco

Ismael Tesisteco is an accomplished NLP Engineer at Yalo since March 2021, with extensive experience in data science and machine learning. As a freelancer since July 2015, Ismael has developed innovative projects including a recommender system for Santander using LSTM and improvements in gaming performance through advanced algorithms. Previously as a Sr Machine Learning Engineer at BairesDev, Ismael designed a fuzzy matching algorithm which enhanced matching quality by 9%. At Thermo Fisher Scientific, Ismael implemented machine learning algorithms that reduced customer churn from 6% to 4% and improved installation efficiency by 25%. Ismael's earlier roles include data scientist positions at Tiempo Development and Hewlett-Packard Laboratories, where Ismael focused on fraud detection and NLP algorithms, respectively. Ismael holds a degree in Computer Science with a specialization in Artificial Intelligence from Universidad de Sonora.