process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, ML models, supervised 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, Tableau, Python, Sql, AWS, Data Analysis, Data pipeline development

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

Python, data-structures, R, ML algorithms

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