Machine Learning, Clustering, Sql, Deep Learning, Neural Networks, Predictive Modeling, Python, Decision Trees, Ai, Ensemble methods, Model training, Feature engineering, Data ingestion, Responsible AI, Explainable AI

Machine Learning, Tensorflow, Deep Learning, Numpy, Nlp, Pandas, Pytorch, MLops, Python, Statistical Analysis, Gcp, Time Series, Azure, AWS, scikit-learn, generative AI, R, Vision capability streams, cloud-based AI services

Pyspark, Sql, Nlp, Pytorch, Databricks, Python, MLops, LangChain, Generative AI, MLflow, LangGraph, Agentic AI, LLM APIs, Azure AI services, LLMs, AI governance frameworks, Medical text analytics, Knowledge graphs, clinical decision support, Multimodal AI, CI/CD for ML

Fault tree analysis (FTA), Numpy, Pandas, Python, scikit-learn, Time-series data modeling, Machine learning models, Feature engineering, anomaly detection, Survival Analysis, Classification and predictive models, RUL estimation, Visualization and reporting tools

Machine Learning, Tensorflow, Nlp, Pytorch, XGBoost, Python, AWS, Sql, Gcp, Azure, vector search, validation frameworks, HuggingFace, MLflow, Pinecone, OpenSearch, LangChain, Generative AI, RAG architecture, LLMs, CI CD for ML deployments, LightGBM, Scikit-learn, prompt engineering, OpenAI LLM APIs, FAISS, Weaviate, LlamaIndex, Model evaluation