Summary
Lefteris Soulas is a Senior Data Scientist based in New York with 13 years of experience applying ML and data engineering to advertising, media forecasting, and telecom risk analysis. He currently leads production ML and data warehousing work at Visible World, building deduplication, clustering and LSTM forecasting pipelines on Databricks, MLflow and AWS at scale. Earlier roles at Comcast involved churn prediction, blackout impact forecasting and unsupervised learning, reflecting a strong blend of statistical modeling and pragmatic engineering. Trained in electronic and computer engineering and holding a math/CS master’s from NYU, he combines rigorous academic foundations with hands-on automation (S3/Lambda, Selenium) and a knack for turning experimental ideas into production systems. Notably, his background spans finance, academia and media, giving him an uncommon edge in time-series and concept-drift problems encountered across industries.
12 years of coding experience
4 years of employment as a software developer
19.7/20, 19.7/20 at The American College of Greece
Master's degree, Mathematics and Computer Science, 3.9, Master's degree, Mathematics and Computer Science, 3.9 at New York University
5 year Diploma, Electronic and Computer Engineering, 8.4/10, 5 year Diploma, Electronic and Computer Engineering, 8.4/10 at Technical University of Crete
greek ( mother tongue), English