prophet , Machine Learning, Tensorflow, Pytorch, XGBoost, Python, Sql, Deep Learning, Git, Kubernetes, scikit-learn, Temporal Convolutional Networks, Random Forests, GRU, Integrated Gradients, Gradient Boosting, data visualization tools, Time Series Models, LSTM, SHAP, LightGBM, Statistical models, counterfactuals, statsmodels, permutation importance, transformer-based models

Deep Learning, Machine Learning, Sql, Python, embeddings, knowledge graphs, Statistical Modeling, enterprise ontologies, vector databases, semantic models, RAG pipelines

Amazon Web Services, Data Mining, Tensorflow, Machine Learning Algorithms, Predictive Analytics, Python, Java, Hibernate, Hadoop, Big Data, Clustering, Spring, Ms Azure, Jenkins, DataBricks, Git, Azure Data Factory, Hive, Pytorch, Spark, Keras, multivariate testing, MLLib, HDInsight, Deep Neural Networks, Map-Reduce, Classification, HDFS, Regression, Statistical Modeling

risk intelligence , causal inference , Orchestration, Nlp, automation, Machine Learning, Computer Vision, MLops, GenAI, agentic AI, RAG tool use, Investigations, anomaly detection, human-in-the-loop workflows, Evaluation, enterprise AI governance, model validation, Optimization, agentic architectures, observability, graph analytics, Forecasting, document intelligence, graph intelligence, large-scale data and ML platforms

Ml, BigQuery, Sql, Deep Learning, Databricks, Azure, Python, AWS, embeddings, GNNs, statistical AI, dbt, graph-native models, Athena, custom graph algorithms