process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, ML models, supervised ML

Spark, ML Ops, Applied ML

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering

Pyspark, Machine Learning, Cicd, Databricks, Azure, Python, Time Series Forecasting, ADF pipelines, Demand Forecasting

Sql, Tensorflow, Machine Learning, Pytorch, Python, Distributed data processing, RAG pipelines, Agentic AI systems, Feature engineering, Statistical Models, LLM-powered applications, Prompt engineering, Deep learning frameworks

Tensorflow, Machine Learning, MLops, AWS, Pytorch, Python, Azure, Gcp, Hl7, LLaMA, Claude, OpenAI GPT, Hugging Face, EMR EHR systems, FHIR, AI ML models, Statistical models, Generative AI

Sql, Pytorch, Python, Tensorflow, MLops, scikit-learn

Numpy, Databricks, Sql, Pytorch, Azure Data Factory, Tensorflow, Python, Microsoft Azure, Pandas, Classical Machine Learning, Azure Data Foundry, Generative AI

probability , Sql, Tensorflow, Hadoop, Tableau, Data Visualization, Pandas, Power Bi, Pytorch, Azure ML, Natural Language Processing, Numpy, Seaborn, Python, Spark, Statistics, Airflow, Prefect, machine learning techniques, Plotly, Kubeflow, Large Language Models, Scikit-learn, AWS SageMaker, MLFlow, Generative AI, GCP Vertex AI

, model development , Sql, Pytorch, Tensorflow, Python, scikit-learn