Machine Learning, Predictive Modeling, Azure, Python, Sql, Google Cloud, AWS, R, scikit-learn, Statistical Modeling

Git, Python, Sql

Nosql, Hive, Hadoop, Spark, Python, Sql, Mapreduce, Pig, Statistical Modelling, Big Data concepts, Cloud implementations

process mining , Weights & Biases, Deep Learning, Spark, Databricks, Python, Data Pipelines, Feature Engineering, Sequence Modelling, MLflow, Transformer-based Models, Multimodal Learning Pipelines, Diagnostic Tooling, Hyperparameter Tuning, Large-scale Data Processing, Experiment Tracking, Model Management

Sql, Data Science, Python, embeddings, knowledge engineering, enterprise ontologies, big data infrastructure, vector databases, semantic models, semantic retrieval, GenAI systems, enterprise knowledge grounding, RAG pipelines, semantic data systems, applied AI

Machine Learning, Natural Language Processing, SAS, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, Generative AI, R

Predictive Modeling, Machine Learning, Algorithm Design, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Spark, Python, a/b testing, AWS Bedrock, Data Pipelines, Scikit-learn, Statistical Methods, Recommendation Systems, GCP AI Platform, AWS SageMaker, Google Vertex AI, Uplift Modeling

Databricks, Sql, Tensorflow, Deep Learning, Machine Learning, Pytorch, Data Science, Gcp, Sparql, AWS, Python, Azure, cloud environments, semantic data systems, scikit-learn, GQL, semantic models, embeddings, enterprise ontologies, GenAI systems, RAG, semantic retrieval, Statistical Modeling, Cypher, applied AI, enterprise knowledge grounding, graph query languages, ML libraries, vector databases, knowledge engineering, big data infrastructure

Sql, Gitlab, Pytorch, Tensorflow, Python, XGBoost, Plotly, Shiny