Summary
Stuti Nayak is a Data Analytics Engineer with nine years of experience applying machine learning and cloud technologies to real-world problems, currently working at Aurelius Enterprise in the Netherlands. She has driven measurable impact—improving topic-match accuracy by 10% with BERT-based multi-label models and boosting multi-class prediction accuracy from 27% to 55% using CNNs/LSTMs and robust ETL/MLOps pipelines. AWS ML and cloud certifications complement hands-on experience with spaCy, RoBERTa, MLflow and Google Cloud Run, enabling production-ready ML workflows. Her background includes federated learning infrastructure for privacy-preserving hospital analytics and automating biomedical metadata quality, showing a strong bridge between research and productization. Ambitious about cross-cultural collaboration, she is also learning Dutch, reflecting her commitment to integrate technically and socially within the Randstad tech ecosystem.
9 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Data Science in Decision making, Master of Science (MSc), Data Science in Decision making at Maastricht University
Bachelor of Technology (B.Tech.), Information and communication technology, Bachelor of Technology (B.Tech.), Information and communication technology at Dhirubhai Ambani Institute of Information and Communication Technology
English, Hindi, Dutch