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

Nlp, LangChain, GPU optimization, Airflow, DeepSpeed, Triton Inference Server, speech models, distributed training, multimodal transformer models, MLflow, real-time video processing, Ray, Vector DBs, Horovod, Cv, RAG, KServe

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

attribution modeling , Machine Learning, Pyspark, Neural Networks, Support Vector Machine, Clustering, Sql, Deep Learning, Databricks, Azure, Python, AWS, Advanced Analytics, Predictive Analytics, Regression, Tree-based algorithms, Classification, Recommender System, Gen AI, Data Platforms, Llm

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