Andreea Ghergu
About Andreea Ghergu
Andreea Ghergu is a Data Scientist at Endava in Iaşi, România, with a background in software development and operations engineering.
Current Role at Endava
Andreea Ghergu is currently a Data Scientist at Endava, based in Iaşi, România. In this role, she leverages her extensive background in data analysis and software development to contribute to various data-driven projects. Her work involves analyzing complex datasets, building predictive models, and employing various data mining techniques to solve business problems.
.NET Developer Experience at Fluentis
Andreea Ghergu worked as a .NET Developer at Fluentis in 2021 for 8 months. During this period, she gained valuable experience in .NET development, contributing to the development and maintenance of software applications. Her role involved coding, debugging, and optimizing .NET applications, which helped her build a strong foundation in software engineering.
Software Developer Internship at Continental
Andreea Ghergu served as a Software Developer Intern at Continental from 2020 to 2021 for 6 months in Iaşi, România. This internship provided her with practical experience in software development, where she worked on various programming tasks and gained insights into the software development lifecycle within a large, multinational company.
Operational Engineering at GfK
Andreea Ghergu's tenure at GfK included time as an Operations Engineer from 2018 to 2019. In this role, she handled operational responsibilities, ensuring the smooth functioning of processes and systems within the organization. This position helped her develop a keen eye for operational efficiency and problem-solving.
Educational Background
Andreea Ghergu achieved a Master's degree in Data Mining from „Alexandru Ioan Cuza” University of Iaşi, studying from 2020 to 2022. She also holds a Bachelor's degree in Computer Science from the same institution, which she completed between 2015 and 2018. Her advanced education has equipped her with a robust theoretical foundation in data science and computer science.