AWS, Sql, Etl, Python, Gcp, Pyspark, Azure Microsoft Services

snowflake , Kafka, Tensorflow, Numpy, Pytorch, Docker, Flask, Python, Matplotlib, BigQuery, Apache Spark, Jira, Sql, Jenkins, Git, Pandas, Databricks, Apache Beam, Keras, DataFlow, Kubernetes, Pub Sub, Kubeflow, Jupyter

Machine Learning, Databricks, Python, Statistical Analysis, Sql, Experimental Methods, Ai, Data Analysis

Large Language Models (LLMs), Text Analytics, Machine Learning, Sql, Nlp, Databricks, Python, Statistical Analysis, Feature Engineering, Ai, model validation, Model Serving, MLflow, Azure OpenAI, Vector Search, Prompt Design, Azure AI Services, Experimental or Quasi-experimental Methods, Embeddings, semantic search, Conversational Interfaces

Logistic Regression, Cluster Analysis, Predictive Modelling, Random Forest, Python, Multivariate regression models, R, Ada-Boost, Statistical Machine Learning, Statistical tools and techniques

Java, Hive, Hadoop, Python, Sql, Perl, Data Extraction, Excel, Deep Learning, Operations Research, Generative AI, Statistical Modeling, Modeling

Logistic Regression, Predictive Modelling, Random Forest, Cluster Analysis, Python, R, Ada-Boost, Statistical Machine Learning

probability , Hypothesis Testing, Clustering, Sql, Numpy, Pandas, Python, Scikit-learn, Statistics, Regression, Predictive models, Experimental Design, Classification, Model evaluation

data engineering , Data Governance, embedding pipelines, enterprise data lakes, Microsoft Azure AI, RAG strategies, Applied AI, Analytics Engineering, Responsible AI compliance, context engineering, Microsoft Fabric OneLake, Amazon AWS Bedrock, semantic retrieval models, LlamaIndex, retrieval pipelines, chunking approaches

Machine Learning, REST, Hive, Hadoop, Spark, Big Data, Mapreduce, Sql, Python, R, GRPC