Miguel Rosas / Fulltime - data scientist

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data scientist

BBVA

Mexico City
Junior Team Member

• Adapted a queuing model from R to Python with the capability of calculating the number of bank tellers in 2 000 branches. • Designed an interactive board with Human Resources information to support Inclusion and diversity projects. • Collaborated in the execution of transparent-automated assessment metrics for employees and their proportional reward.

Banking • 40 Hours / Week • In-House

Progress

Jan 2019 - Jul 2019

Skills

Python
R
Queue Management
Diversity & Inclusion
Human Resources
machine learning
STATISTICS

Next

Master of Computer Science