data engineering , advanced Excel, databricks, Data Visualization, Qlikview, Python, Sql, Relational Databases, AI-driven analytics, scenario analysis, ETL processes

Sql, Nlp, Nltk, Pytorch, Gcp, Azure, Python, AWS, Scikit-learn, Transformer-based models, GPT, unstructured data processing, BERT, data engineering pipelines, Graph Neural Networks

data engineering , Distributed Computing, Mathematical Foundations, Big Data Processing

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, feature engineering, Azure AI Search

Pyspark, Databricks, Sql, Pandas, Python, Hypothesis Testing, Nlp, optimisation methods, MLflow, scikit-learn, sensitivity analysis, GenAI, causal inference techniques, model validation, cross-validation, Experimental Design, back testing

Python, Feedback loop design, pricing optimization, ML lifecycle management, ML frameworks, Cost modelling, Data engineering concepts, Data drift detection