Alkiviadis Kariotis
Alkiviadis is presently engaged as a Business Analyst at impruvo., an eBusiness consulting firm that specialises in consulting, recruitment, and technology services. He holds a bachelor’s degree in Marketing Communications, graduating with honours. Alkiviadis is currently pursuing a Master’s in Data Science and AI at the American College of Greece, where he has been awarded four scholarships for his academic excellence. He aims to integrate his master’s knowledge with the eCommerce industry. In addition, he harbours a passion for gadgets and succulent gardening.
Sessions
Addressing the complexities of financial time series analysis, we unravel prevalent challenges and introduce innovative solutions with the use of synthetic data. From data scarcity to imbalanced datasets, bank silos, privacy concerns and regulatory compliance, this talk dives into the multifaceted obstacles hindering effective financial modelling. Discover how synthetic data generation and augmentation emerge as pivotal solutions, offering privacy-preserving alternatives in the realm of data-driven finance. The talk will cover a broad array of synthetic data techniques ranging from simplistic to state-of-the-art models such as GANs.