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

Tensorflow, Azure, Python, scikit-learn, Data Processing

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

Java, Scipy, Google Cloud, Numpy, Pandas, Spark, Azure, Python, AWS, Hugging Face Transformers, Scikit-learn, Ray

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