Georgios Zioviris
Senior Data Scientist Analytics & a i at Pwc Greece
Based in Ioannina, Greece
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Seniority
Staff
Department
Other
Location
Ioannina
Industry
Business Consulting and Services
Company size
2.1K
Contact information
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Background
About Georgios Zioviris
As a seasoned Data Scientist and Machine Learning Engineer with a Ph.D. in Machine & Deep Learning Engineering from the University of Thessaly, I bring over 15 years of diverse experience in the financial and technology sectors. My career has been driven by a passion for leveraging data to solve complex problems and deliver actionable insights that propel business success. At PwC Greece, I have excelled as a Senior Data Scientist, deploying advanced data processing and statistical techniques to model large datasets, uncover patterns, and provide strategic recommendations. My role involves leading high-impact projects for top-tier clients, translating complex data into clear, actionable insights, and continuously staying ahead of industry trends and methodologies. My doctoral research focused on "AI-Driven Application in Banking: Multistage Deep Learning for Fraud Detection and Model Interpretability," highlighting my capability to develop sophisticated machine learning models tailored to financial applications. My work has been published in esteemed journals such as the Journal of Supercomputing, showcasing my ability to conduct groundbreaking research and contribute to the academic community. Throughout my career, I have demonstrated proficiency in designing and implementing machine learning systems, conducting rigorous statistical analysis, and fine-tuning models for optimal performance. My technical expertise spans Python, R, Scala, SQL, Hadoop, Spark, Java, JavaScript, Power BI, Microsoft Azure, and more. Key Highlights- Ph.D. in Machine & Deep Learning Engineering from the University of Thessaly - Senior Data Scientist at PwC Greece, leading data-driven projects for top organizations - Published researcher with a focus on deep learning applications for fraud detection - Extensive experience in financial data analysis, credit risk assessment, and model interpretability - Proficient in Python, R, Scala, SQL, Hadoop, Spark, Java, JavaScript, Power BI, and Microsoft Azure Certified in Deep Learning, Applied Data Science, and various machine learning platforms from IBM and Microsoft I am excited about the prospect of bringing my skills and experience to innovative companies. I thrive in dynamic environments where I can tackle challenging data science problems, drive business solutions, and contribute to the growth and success of forward-thinking organizations.
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