Hasida Vidal
About Hasida Vidal
Hasida Vidal is a Data Scientist with a diverse background in data analysis and mathematics. She has held various positions in companies such as Crowdbotics, Sourceress, and Bob Weber Inc., and is currently pursuing a Master of Science in Analytics at Georgia Institute of Technology.
Current Role at Crowdbotics
Hasida Vidal has been employed at Crowdbotics as a Data Scientist since 2021. In this role, she applies her expertise in data analysis and interpretation to support various projects and initiatives within the company. Her contributions focus on leveraging data to drive decision-making and enhance operational efficiency.
Previous Experience at Bob Weber Inc.
Hasida Vidal worked at Bob Weber Inc. in multiple capacities. She served as a Freelance professional from 2015 to 2019, focusing on project-based work. Prior to that, she held the position of Production Manager from 2013 to 2015, where she oversaw production processes. Additionally, she worked as an Accounting Assistant during the same period, managing financial records and assisting with accounting tasks.
Experience as Mathematics Tutor
From 2015 to 2017, Hasida Vidal worked as a Mathematics Tutor at Cuyahoga Community College in Highland Hills, OH. In this role, she provided academic support to students, helping them improve their understanding of mathematical concepts and problem-solving skills.
Role at Sourceress
Hasida Vidal served as a Technical Sourcing Analyst at Sourceress from 2017 to 2020. In this remote position, she was responsible for sourcing technical talent and analyzing data to inform recruitment strategies. Her work contributed to the efficiency of the hiring process within the organization.
Education and Academic Background
Hasida Vidal is currently pursuing a Master of Science in Analytics at the Georgia Institute of Technology, a program she began in 2020. She previously earned a Bachelor's Degree in Mathematics from Arizona State University, where she studied from 2009 to 2013. This educational background has equipped her with strong analytical and mathematical skills applicable to her career in data science.