Sabina Ixchel Garcia Mendoza

Sabina Ixchel Garcia Mendoza

Data Engineer Lll @ The Ksquare Group

About Sabina Ixchel Garcia Mendoza

Sabina Ixchel Garcia Mendoza is a Data Engineer Lll with expertise in ETL processes using Azure Databricks. She has experience working at Emergys México and currently works at The Ksquare Group, where she leads AI chatbot development.

Work at The Ksquare Group

Currently, Sabina Ixchel Garcia Mendoza serves as a Data Engineer Lll at The Ksquare Group, a position she has held since 2023. In this role, she is the principal engineer responsible for the development of an AI chatbot. Her expertise in data engineering contributes to the company's initiatives in leveraging artificial intelligence for enhanced customer interactions and data processing.

Previous Experience at Emergys México

Prior to her current role, Sabina worked at Emergys México as a Data Engineer from 2022 to 2023. During her tenure, she focused on data management and engineering tasks, applying her skills in ETL processes and data integration to support the company's data-driven projects.

Internship Experience at CHRISTUS LatAm

Sabina gained valuable experience as a Data Analyst Intern at CHRISTUS LatAm - Centro de Excelencia & Innovación from 2020 to 2021. This internship allowed her to develop analytical skills and gain insights into data analysis processes within a healthcare context.

Educational Background in Mathematics and Engineering

Sabina holds a Bachelor's degree in Mathematics from Universidad Autónoma de Nuevo León, which she completed from 2017 to 2021. Additionally, she pursued an Engineer's degree in Chemical Engineering at the same institution, finishing in 2021. Her educational background provides a strong foundation for her work in data engineering and analysis.

Research Focus in Neural Networks

Sabina has a strong focus on research in recurrent neural networks, particularly Long Short-Term Memory (LSTM) networks applied to finance time series. This area of expertise enhances her capabilities in data modeling and predictive analytics, contributing to her effectiveness in her current role.

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