Associate Director Data Science, Publicis Sapient
Have around 10+ years of leadership experience in data science and machine learning with deep understanding of algorithm and statistical learning. Professionally, he is quite versatile in the way he approaches a business problem and tries to bring in a new dimension to problem solving approach. Experienced in credit risk modelling, transaction data-based risk scorecard, liquidity modelling, next best action modelling, customer churn modelling, insurance modelling, financial crime models, graph-based crime modelling, financial distress modelling, business customer risk models.He actively write for various publications and blogs. He has also been invited as lecturer and speaker in multiple forums. His current areas of interest are fair and explainable ML. He has been awarded MVP in AI by Microsoft recently.