Summary
Panagiotis Papaemmanouil is a data scientist and founder with 8 years of hands-on experience building production-grade ML and AI systems for fintech, enterprise software and retail clients from Thessaloniki, Greece. He leads DataMinds, designing end-to-end pipelines and guiding a team that delivers scalable models used by thousands daily, while also serving as a Palantir Foundry Data Support Engineer handling data ingestion, PySpark transformations and customer-facing support. His background spans academic research and startups—developing HFT-focused financial ML, demand-forecasting, fraud detection and anomaly systems—combining strong statistical intuition with engineering practices (Python/R, TensorFlow, Airflow, DBT, GCP). Comfortable shipping full-stack data products, he has resolved 500+ support tickets, earned multiple Foundry certifications, and contributed to open-source time-series tools. Outside work he pairs rigorous problem-solving rooted in a mathematics degree with a discipline for continual learning and practical fitness.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Data and Web Science, Master's degree, Data and Web Science at Aristotle University of Thessaloniki (AUTH)
High school diploma, General Studies with technological direction / Music Studies, High school diploma, General Studies with technological direction / Music Studies at Music School, Drama, Greece
Summer School Certification (1 week), 2 ΕCTS credits, R and Big Data Analytics, Summer School Certification (1 week), 2 ΕCTS credits, R and Big Data Analytics at University of the Aegean
Greek, English