Docker, Gitlab, Python, AWS, MLops, Gcp, Databricks, Devops Tools, Azure, Kubernetes, AWS Bedrock, MLflow, vector databases, Pinecone, Azure OpenAI, LangGraph, Deep Learning Frameworks, GCP Vertex AI, NLP techniques, Generative AI models, LangChain, prompt engineering, SageMaker, Agentic AI, FAISS, Weaviate

Decision Trees, Neural Networks, Clustering, Python, Machine Learning Algorithms, Modeling, advanced statistical techniques, scenario analysis, Regression, Simulation

Machine Learning, Hypothesis Testing, Sql, Tensorflow, Pytorch, Python, AWS, LangChain, MLflow, Scikit-Learn, SageMaker, OpenAI APIs, Kubeflow, Jupyter, Statistical Modeling

Logistic Regression, Sql, Deep Learning, Pandas, Numpy, Neural Networks, XGBoost, Decision Trees, Python, data preprocessing, Precision-Recall, scikit-learn, Gradient Boosting models, PSI, model evaluation metrics, Ensemble techniques, KS, Random Forests, F1, Auc, feature engineering, Gini

Machine Learning, C, Iot, Tensorflow, Javascript, MySQL, Python, Java, Ml, Hadoop, Deep Learning, Hive, Presto, Pytorch, Spark, Airflow, DL, Beam, Druid, Robotics, R, Map Reduce, Ai, Statistical Techniques, Optimization Theory, Caffe

bedrock , Tensorflow, Numpy, Nltk, Pytorch, Python, AWS, Sql, Git, Pandas, Gcp, Azure, GenAI tools, Hugging Face Transformers, MLflow, NLP libraries, NoSQL database, OpenAI APIs, Vertex AI, LangChain, Scikit-learn, SageMaker, LLM fine-tuning, spaCy, RAG

graph databases , Tensorflow, Nlp, Pytorch, Gcp, Neo4j, Azure, Python, AWS, GenAI, knowledge graphs, LLMs, Scikit-learn, DGL, cloud AI ML services, vector stores, MLOps practices

graph databases , Tensorflow, Nlp, Pytorch, Gcp, Neo4j, Azure, Python, AWS, GenAI, knowledge graphs, LLMs, Scikit-learn, DGL, cloud AI ML services, vector stores, MLOps practices

Machine Learning, Pyspark, Databricks, Python, Sql, AWS