Uziel Linares

Uziel Linares

Python Developer @ QuinStreet

About Uziel Linares

Uziel Linares is a Python Developer currently employed at QuinStreet since 2022. He has previous experience as a Data Scientist and Cloud Data Engineer in various companies in Mexico.

Current Role at QuinStreet

Uziel Linares currently serves as a Python Developer at QuinStreet. He has been in this role since 2022, working remotely from Foster City, California. His responsibilities include developing and maintaining Python applications, contributing to software projects, and collaborating with team members to enhance product functionalities.

Previous Experience at Clikalia

Prior to his current position, Uziel Linares worked at Clikalia as a Data Scientist for seven months in 2022. During his time there, he focused on data analysis and modeling, contributing to the company's data-driven decision-making processes. His role involved leveraging data science techniques to extract insights and support business objectives.

Experience as Cloud Data Engineer at INNOCEAN Worldwide México

Uziel Linares worked as a Cloud Data Engineer at INNOCEAN Worldwide México from 2020 to 2022. In this position, he was responsible for managing cloud-based data solutions and ensuring the integrity and accessibility of data across platforms. His experience in cloud technologies played a crucial role in optimizing data workflows.

Role as Data Scientist at Aleph Consulting & Data Science

Before joining INNOCEAN, Uziel Linares was employed as a Data Scientist at Aleph Consulting & Data Science from 2019 to 2020. His work involved analyzing complex datasets and applying statistical methods to derive actionable insights. This role helped him build a strong foundation in data science principles and practices.

Educational Background

While specific details about Uziel Linares's educational background are not provided, his professional roles in data science and engineering suggest a strong foundation in relevant fields. His experience across various companies indicates a commitment to continuous learning and skill development in technology and data analysis.

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