causal inference , Deep Learning, Machine Learning, Python, Statistical Modeling, Transformers, Graph-based machine learning

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

Machine Learning, Pyspark, Sql, Nlp, Pytorch, Databricks, Python, Generative AI, LLMs, MLflow, LLM APIs, RAG, Azure AI services

Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Azure Machine Learning, Python, Azure ML Studio, Scikit-learn, CI CD

cdisc standards , Ml, Advanced Analytics, SAS, Sql, Predictive Modeling, Python, quantitative methods, longitudinal analysis, Simulation, Ai, uncertainty communication, R, Statistics, survival methods, causal reasoning

data engineering , Machine Learning, Docker, Data Architecture, Python, AWS, Sql, Deep Learning, Gcp, MLops, Rest Apis, Azure, Kubernetes, Pinecone, CI CD, LangGraph, Vector Databases, Chroma, LangChain, CrewAI, Generative AI, AI Security, LLMs, LLMOps, Governance, RAG AI Agents, Milvus, Weaviate, LlamaIndex

Tensorflow, Nlp, Pytorch, MLops, Azure, Python, AWS, GenAI, LLMs, CI CD, RAG, DL frameworks

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