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Adam Shamash is a Data Analyst with experience in forecasting financial time series, detecting anomalies in financial reporting, and developing analytics platforms. Adam has a background in mathematics and physics, holding a Bachelor of Science from UC Santa Barbara and a Master of Science from KU Leuven. In previous roles, Adam has worked on data quality maintenance, ETL processes automation, and data exploration for new sources.