Microsoft-certified Lead Data Scientist with nearly a decade of experience in designing and developing advanced machine learning, deep learning, and natural language processing (NLP) models. Proven expertise in Gen AI projects, driving data-driven decision-making across diverse domains such as Banking, FMCG, Industry 4.0, and Search advertising. Skilled in leading cross-functional teams to deliver scalable AI solutions that enhance customer experiences and operational efficiency. Core competencies include: - Large Language Models (LLM): BERT, GPT, Transformer models - Cloud Services: AWS SageMaker, Azure ML, Google Cloud Vertex AI - ML Frameworks: PyTorch, TensorFlow, SparkNLP, HuggingFace - Advanced Analytics: Regression, Classification, Clustering, Time Series Forecasting - Business Intelligence: PowerBI, Tableau Recognized for strategic thinking, innovative problem-solving, and commitment to driving AI adoption. Seeking leadership roles to spearhead Gen AI initiatives and lead high-impact data science projects.