As a Data Scientist at Finclude, a leading Fintech startup, I apply my PhD expertise in Statistics and Machine Learning to deliver insights and solutions that drive growth and improve customer experience. With a focus on quantile regression, Bayesian statistics, transfer learning, and time series analysis, I specialize in modeling human behavior and predicting financial outcomes and risks.In addition to my role at Finclude, I also work as a Senior Data Scientist Consultant at Most Loved Workplace, where I manage and provide guidance and measurement of the accuracy of machine learning models for various clients and projects. Furthermore, I am a Mentor and Evaluator for Data Scientist and AI Engineer Programs at OpenClassrooms, where I help aspiring and emerging data professionals to learn and apply practical skills in data science and ML engineering. I am always seeking new challenges and opportunities to explore and apply my skills in data science and ML engineering, and to contribute to the advancement and innovation of the field.