Evangelos Tsilikas
Data Science student and BI Analyst at Public Power Corporation, Greece. Enthusiastic about discovering insights that drive strategic decisions.
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.