Yash Pardeshi

I enjoy building AI systems that solve real business problems. Currently, I work as a Data Scientist at NICE Actimize, where I develop Machine Learning and Generative AI solutions for Anti-Money Laundering (AML), fraud detection, and financial crime analytics. My work spans Data Science, Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Agent AI systems. Over the years, I have built predictive risk scoring models, LLM-powered analyst assistants, automated profile and transaction summarization solutions, AI-driven report generation systems, and intelligent search and knowledge discovery tools. I enjoy taking a business problem, understanding the data behind it, and turning it into a practical AI solution that delivers measurable value. Before joining NICE Actimize, I worked at Avaya, where I developed NLP and LLM-based applications that improved customer support operations and knowledge retrieval across large datasets. I hold an M.Tech in Data Science and Engineering from BITS Pilani and a B.Tech in Computer Science and Engineering from MIT World Peace University, where I graduated with a CGPA of 9.92 and received the University Bronze Medal. My interests include Generative AI, LLMs, RAG, NLP, Machine Learning, FinTech, Financial Crime Analytics, and Intelligent Automation. I am always exploring new ways to combine data and AI to build solutions that are useful, scalable, and impactful.