Prashant Bansod

• Led the end-to-end development and deployment of a machine learning fraud detection model in Python (XGBoost) for RPay, collaborating with data engineers and product managers to deliver a production-ready solution.

▪ Trained an object detector using VGG-16 model (Python, OpenCV) for the pilot project of self-checkout stores to detect the fraudulent scans. Also developed a

▪ Worked on data collection strategies for the future Machine Learning implementations ▪ Performed sentiment analysis on the chat messages using Natural Language Toolkit(NLTK) and Naive Bayes algorithm

▪ Collaborated with the Marketing team to improve the customer acquisition strategies using design thinking approach ▪ Worked as an Agent on the chat based platform to understand the customer behaviour and reported the findings to the executive stakeholders

Coursework included System Engineering,Design thinking,System Verification and Validation,Marketing Management,Business System Dynamics

♦Concept generation and design thinking on new product development ♦Analysis of stakeholder requirements ♦ Design and prototype building of a product based on Thermal Paper Technology for RICOH, Japan