Summary
Faeze Ghorbanpour is a Data Scientist based in Germany with nine years of experience designing and deploying end-to-end machine learning pipelines. She excels in predictive modeling, data processing, and data mining, and is fluent in Python, R, and Java for both research and production code. Faeze is skilled at building adaptive, diverse models and services that move from development through testing to inference in production. Her background spans the full lifecycle—from feature engineering and model training to scalable inference—bringing practical, production-focused solutions to IT and services environments. Colleagues describe her as a hands-on practitioner who pairs algorithmic depth with pragmatic deployment experience.
9 years of coding experience