incoming mails every week using Text vectorization (NLP) and SGD classifier. - Identifying 78% of the booking and voucher frauds using a random forest anomaly detection model. - Created a RASA chatbot to help customers find answers to booking related questions and requests. Data Scientist • Fraunhofer, Paderborn FebruaryJulyDeep Q-learning to train an autonomous car to navigate in an Industry 4.0 environment. - Statistical and deep learning models for low latency (~3.8s) anomaly detection on acquired sensor data. - Developed, tested, deployed, and managed continuous delivery and automation pipeline for this solution. - Interactive visual
Python
C++
Docker
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Paderborn
・
Computer Engineering
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