Ana Scridon

Ana Scridon

Senior Social Media Lead @ Endava

About Ana Scridon

Ana Scridon is the Senior Social Media Lead at Endava in Cluj-Napoca, Romania, with a background in marketing, communication, and social media strategy.

Current Position at Endava

Ana Scridon currently holds the role of Senior Social Media Lead at Endava in Cluj-Napoca, Cluj, Romania. She is responsible for managing both global and regional social media content and editorial calendars. Ana actively drives and implements Endava's B2B social media strategy on both scales.

Previous Roles in Marketing and Branding

Ana has a rich background in marketing and branding. Notably, she served as an Employer Branding Specialist at accesa.eu for 7 months in 2019-2020. She has also worked at Cognizant Softvision as a Senior Marketing & PR Specialist for 3 months in 2019. She spent multiple years at Endava in various roles including Marketing Specialist and Communication Specialist, contributing significantly to the company's brand and content strategy from 2015 to 2019.

Education and Qualifications

Ana Scridon has robust academic credentials. She holds a Master of Arts (M.A.) in Communication and Media Studies from the University of Augsburg, earned from 2011 to 2013. Additionally, she achieved a Bachelor of Arts (B.A.) in Public Relations, Advertising, and Applied Communication from Universitatea „Babeș-Bolyai” din Cluj-Napoca, completed between 2008 and 2011.

Early Career Experience

Ana's early career includes roles such as Advertising and Client Consultant at Ofenstein Werbeagentur GmbH in Munich, Germany, and a Trainee position at Greenest Green in Augsburg, Germany. These positions provided her with initial exposure and skills in advertising and client consulting.

Achievements at Microsoft Fabric Global AI Hackathon

Ana participated in the Microsoft Fabric Global AI Hackathon, working on the project 'PIInovators'. She collaborated with team members on developing a cloud-native data solution integrating Open AI for document analysis. The project involved detecting personally identifiable information (PII) in files and images, classifying documents, and using a medallion architecture for data storage. This project won the Grand Prize, highlighting her innovative skills in AI-driven solutions.

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