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    Vilva Sofianou

    Software QA Engineer at Future Facilities Ltd

    Professional Background

    Vilva Sofianou is an emerging talent in the fields of Machine Learning and Data Engineering, actively pursuing advanced skills in these cutting-edge technologies. With a strong foundation in Data Analysis practices and a proven track record as a QA Engineer over the past two years, Vilva has consistently delivered quality solutions in agile environments. Her reputation for efficiency and speed is complemented by her ability to foster positive relationships with colleagues at all organizational levels. As a professional who thrives in team settings, she possesses strong communication skills that enhance her ability to collaborate with project managers, developers, and other stakeholders.

    Education and Achievements

    Vilva’s academic journey laid a solid groundwork for her career in technology. She holds a Bachelor of Science (BSc) in Applied Mathematics from the University of Crete, with a commendable 2:1 classification. This degree provided her with vital analytical and problem-solving skills that she has successfully applied throughout her professional endeavors.

    In pursuit of specialized knowledge in technology, Vilva has also completed a Data Science Immersive Course at General Assembly, which honed her skills in data management and analysis. Additionally, she undertook a Machine Learning online course at Stanford University, equipping her with insight into contemporary practices and methodologies in machine learning.

    Career Path and Roles

    Vilva has gained notable experience in various roles across the technology and customer service domains:

    • Software QA Engineer at Future Facilities Ltd: Currently, Vilva is applying her extensive QA expertise to contribute to high-standard software development processes, ensuring the delivery of flawless products.
    • QA Engineer at Cheil UK: In this role, she was instrumental in the quality assurance processes that supported project goals and timelines.
    • Data Analyst Intern at Havn SuperApp: During her internship, Vilva gained hands-on experience in data analytics, working closely with datasets to derive insights that informed product decisions.
    • Data Scientist Student at General Assembly: Her time in this program laid the groundwork for her future career in data science and machine learning, offering a real-world approach to learning new technologies.
    • QA Engineer at Crownpeak and Velti: In these positions, she undertook critical testing roles that ensured product quality and customer satisfaction.
    • Early in her career, Vilva held positions such as Front Desk Agent at BIOTYPOS, Hotel Employee at Andronis Exclusive, Sales Assistant at The Silk Shop, and Call Center Representative at Epsilontv, all of which helped her develop strong customer service and interpersonal skills that are advantageous in her current technical roles.

    Achievements

    Vilva’s successes can be attributed to her tenacity, adaptability, and commitment to learning. She has consistently proven her capability by working efficiently under pressure and managing multiple responsibilities while maintaining high-quality standards in her work. Her ability to communicate effectively helps bridge gaps between technical teams and non-technical stakeholders, making her a valuable member of any project team.

    As she continues to seek opportunities for further development in Machine Learning and Data Engineering, Vilva is poised to make significant contributions to future projects and initiatives. With her solid educational background, practical experience, and dedication to continuous learning, she remains an asset in the tech community and a rising star in the fields of data science and engineering.

    Related Questions

    How did Vilva Sofianou develop her expertise in Machine Learning and Data Engineering?
    In what ways has Vilva utilized her Applied Mathematics background in her roles in technology?
    What are the most valuable lessons Vilva Sofianou learned during her Data Science Immersive Course at General Assembly?
    How has Vilva's experience as a QA Engineer influenced her approach to Data Analysis?
    Can Vilva Sofianou share some insights from her time as a Data Analyst Intern at Havn SuperApp?
    What motivates Vilva to pursue further development in machine learning and data engineering?
    How does Vilva manage to uphold efficiency and speed in her work as a QA Engineer?
    What impact did her educational experiences at Stanford University and the University of Crete have on her career path?
    Vilva Sofianou
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    Location

    London, England, United Kingdom