Nirbhaya Shaji is a Data Scientist based in Porto with eight years of experience applying machine learning and data engineering to finance, emissions modeling, and unstructured data research. Currently at Natixis and pursuing a PhD with INESC, she blends industry production work—default prediction, network embeddings, NLP, and time-series seasonality detection—with academic rigor on predictive models for unstructured data. Her background includes end-to-end data science in FinTech at Lendigo, GPS-to-emission modeling and API development at Instituto de Telecomunicações, and technical editing that sharpened her ability to communicate complex methods. She is skilled at extracting features from non-traditional sources and operationalizing imbalanced-data workflows, making models both practical and robust. Fluent across research and production, she brings a rare combination of deep technical foundations from a PhD pathway and hands-on deployment experience in high-stakes domains.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at DCC-FCUP
Master of Engineering, Computer Science, Master of Engineering, Computer Science at Mahatma Gandhi University
Bachelor of Engineering, Computer Science, Bachelor of Engineering, Computer Science at Kerala University, Thiruvananthapuram
Master's degree, Data Science, Master's degree, Data Science at Universidade do Porto
Contributions:5 commits, 4 pushes, 1 branch in 13 days
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