Supriyo is Transparent, Motivator, Activator. Leadership is actual strength with the expertise on subject level. MBA from Vinod Gupta School of Management IIT KGP. key specialization: Business analytics and Marketing operations and Machine Learning models.  Analytics Consultant with 8 years of experience. Seeking to work in challenging environment where I can be the part of strategy building and decision making.  Having around 3 years of Deep Expertise in Artificial Intelligence with Machine Learning practices.  Continuously updating knowledge in deep learning & AI by following latest academic and industrial research.  Customization of Deep learning, NLP POCs based on client requirements  Having good experience in Requirements Gathering, Technical and functional understanding of the process / requirements.  EMBA from IIT-KGP • End-to-end ownership ; development deep learning based computer vision models. • Understand the problem, analyze & develop approach to solve it. • Collect, analyze, review, clean, organize; document image datasets efficiently / programmatically. Responsible for getting dataset annotated with help of annotators (internal/external) • Transform images using opencv library, develop scripts to process annotation data/files • Customize standard deep learning based computer vision models for object detection/segmentation (using python; keras/tensor flow/pytorch) • Train models systematically with clear rationale behind approach used • Tune hyper parameters and loss functions • Leverage other machine learning approaches like clustering, regression, classification to solve sub-problems • Review, refactor, optimize for speed/efficiency and check-in code frequently • Capture detailed documentation of data, models, application architecture, and steps to execute code. • Communicate results/status updates to stakeholders once a week • Hands-on experience exploring as well as end-to-end implementation of Machine Learning/Computer Vision products in a large enterprise • Participate in defining integrated domain and statistical approaches and best practices • Perform discovery/exploratory development of new analytic algorithms/techniques to enhance existing • Commercial products and offerings. • Lead the development and deployment of modern machine learning, operational research, semantic • Analysis, and statistical methods for finding structure in large data sets. • Participate in shaping Data Science opportunities and identify opportunities to use data science to create Customer value.