Liliana Fernandes

Liliana Fernandes

Frontend Software Engineer @ Feedzai

About Liliana Fernandes

Liliana Fernandes is a Frontend Software Engineer specializing in data visualization techniques to improve decision-making processes. She has experience working at Feedzai and jungle.ai, and holds two Master's degrees in Biological Engineering and Information Systems and Computer Engineering.

Current Role as Frontend Software Engineer

Liliana Fernandes currently works as a Frontend Software Engineer at Feedzai. She has held this position since 2020 and focuses on enhancing user interfaces and experiences. Her work involves applying data visualization techniques to support decision-making processes. This role allows her to leverage her expertise in data analysis and software engineering.

Previous Experience at Feedzai

Prior to her current role, Liliana Fernandes worked at Feedzai as a Data Visualization Engineer from 2018 to 2020. In this position, she specialized in using data visualization techniques to facilitate better decision-making. Her contributions during this time helped improve the company's data-driven strategies.

Internship at jungle.ai

In 2017, Liliana Fernandes completed a summer internship at jungle.ai for two months in Lisboa e Região, Portugal. This experience provided her with practical exposure to data analysis and software development, further enhancing her skills in the technology sector.

Educational Background in Engineering

Liliana Fernandes studied at Instituto Superior Técnico, where she earned an Integrated Master of Science (MSc) in Biological Engineering from 2007 to 2014. She later pursued a Master of Science (MSc) in Information Systems and Computer Engineering at the same institution from 2015 to 2017. Her educational background equips her with a strong foundation in both engineering disciplines.

Professional Interests and Skills

Liliana Fernandes has a professional interest in supporting operational and strategic decisions through data analysis. She combines statistical methods with computer tools to extract actionable insights from large datasets. Her skill set includes data visualization, software engineering, and decision-making support.

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