Machine Learning, Predictive Modeling, Pyspark, Databricks, Python, Sql, explainable ML techniques, model validation, commercial analytics, feature engineering, model performance evaluation

Sql, Tensorflow, Git, Pytorch, Docker, Kubernetes, Python, prompt evaluation methodologies, scikit-learn, LLM prompt engineering, CI CD workflows, MLflow, context engineering

Large Language Models (LLMs), Matplotlib, Machine Learning, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, MLops, Python, AWS, Generative AI, RNNs, Hugging Face Transformers, Scikit-learn, CNNs, CI/CD pipelines, GPU-accelerated computing, Transformers

Predictive Modeling, Machine Learning, Sql, Python, Statistical Analysis, Feature Engineering, Customer Behavioral Analytics, Customer Segmentation, Model Evaluation, Propensity Modeling, Next Best Action Recommendation, Causal Modeling, experimentation, Uplift Modeling, Churn Retention Modeling

Python Programming, Gcp, MLops, Azure, AWS, Agentic AI principles, Generative AI concepts, data pipelines, LLMs, cloud-based AI ML services, RAG architectures

Python, Pytorch, Tensorflow, Llm, Transformers, Hugging Face