Founder, London Chapter, Women in Machine Learning & Data Science
Roshini has a background in AI and electronics from Edinburgh university. She has more than nine years of experience in applying machine learning techniques to design scalable robust solutions in the fields of e-commerce, travel and finance. She has worked with modelling user behaviour, predictive models, recommendation systems, generative and predictive models with deep learning frameworks and is currently working on designing machine learning projects in finance. She is very interested in understanding how AI techniques can be applied in various industries to make them more efficient and accurate. She is also very passionate about encouraging more women to enter and lead in this field and runs the London chapter for women in machine learning and data science.