Ana Maria Marincas
About Ana Maria Marincas
Ana Maria Marincas is a General Ledger Accountant at Endava in Cluj-Napoca, Romania, with a Master's degree in Accounting and Finance from Universitatea „Babeș-Bolyai” din Cluj-Napoca. She participated in the Microsoft Fabric Global AI Hackathon, where her team won the Grand Prize for their PIInovators solution.
Current Position at Endava
Ana Maria Marincas works as a General Ledger Accountant at Endava in Cluj-Napoca, Cluj, Romania. She has been with the company since September 2020, where she manages accounting records and ensures their accuracy and compliance with financial regulations. Her role involves preparing financial statements, reconciling accounts, and overseeing month-end closing processes.
Previous Experience at E.ON Business Services Cluj S.R.L.
Prior to her current role, Ana Maria Marincas worked as an Accounting Clerk at E.ON Business Services Cluj S.R.L. from 2017 to 2020. During her three-year tenure, she was responsible for a variety of accounting tasks, including managing invoices, processing transactions, and maintaining accurate financial records. Her experience at E.ON helped her develop a strong foundation in accounting practices.
Educational Background in Accounting and Finance
Ana Maria Marincas holds a Master's degree in Accounting and Finance from Universitatea „Babeș-Bolyai” din Cluj-Napoca. Her advanced education has equipped her with the theoretical knowledge and practical skills needed to excel in her professional career. Her studies included courses on financial reporting, auditing, taxation, and strategic financial management.
Participation in Microsoft Fabric Global AI Hackathon
Ana Maria Marincas participated in the Microsoft Fabric Global AI Hackathon, where her team, PIInovators, won the Grand Prize. They developed a cloud-native data solution that uses Open AI for document analysis. This solution focuses on detecting personally identifiable information (PII) in files and images and classifying documents into compliant and non-compliant categories. The project employs a medallion architecture within Microsoft Fabric Lakehouse, preparing data for analytical use in Power BI reports.