Anil P.

Data Scientist with 6+ years of experience across machine learning, deep learning, NLP, and computer vision building solutions that go from raw data to deployed, production-ready systems. Recent work includes LiDAR sensor drone data analytics, fine-tuning GPT-3 for a medical treatment-guidance chatbot (deployed on WhatsApp via Rasa), and fraud/anomaly detection systems using statistical and ML-based approaches. I've also built AI chatbots using Node.js and LangChain with Google Workspace integration, and applied NLP models (BERT, GPT) for product-enhancement use cases. My approach: extract and clean data from complex sources, apply rigorous statistical and ML methods, and validate results so they hold up in real-world use not just in a notebook. I work across the full stack of data science tooling: Python, deep learning frameworks (TensorFlow/PyTorch), NLP libraries, and computer vision pipelines.