Results-driven Data Scientist | Machine Learning Engineer | AI Developer with 2 years of experience delivering AI, ML, and Data Science solutions for structured and unstructured data. Skilled in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and Predictive Analytics. Proficient in Python, SQL, TensorFlow, PyTorch, Scikit-learn, Keras, LangChain, Hugging Face, NumPy, Pandas, with expertise in EDA, feature engineering, regression, classification, clustering, CNNs, LSTMs, RNNs, Transformers, reinforcement learning, and prompt engineering. I have successfully built and deployed fraud detection systems, OCR pipelines, anomaly detection engines, video analytics platforms, image manipulation detection tools, and conversational AI agents that have delivered measurable business impact. Key Achievements: 1.) Transformed a legacy SQL fraud investigation tool into an AI-powered fraud detection system with advanced image processing and anomaly detection. 2.) Built SQL Agents using LangChain + RAG to enable conversational querying of large datasets. 3.) Developed Video Monitoring & Detection System with Azure Video Indexer for security and surveillance analytics. 4.) Published IEEE paper on AI-based gym trainer & diet recommendation system. 5.) Created TopOutput, a Python library for customer value segmentation, increasing ROI. 6.) Ranked in Top 100 at KPIT Sparkle (2021 & 2022) for innovative AI projects. Passionate about data science, machine learning, deep learning, NLP, and AI engineering, I thrive on turning complex datasets into scalable, production-ready AI solutions that drive innovation and decision-making. Always open to collaboration, research, and opportunities in Data Science, AI, ML, NLP, and Computer Vision domains.