Sql, Python, audience segmentation, supervised machine learning, Bayesian approaches, meta analysis, marketing mix modeling, Root Cause Analysis, automated analytics pipelines, R, unsupervised machine learning, modeling frameworks, geo experiments, Marketing Analytics, Experimental Design, propensity modeling

Tensorflow, Pandas, MLops, Pytorch, Data Modeling, Numpy, Python, Spark, engineering best practices, Evaluation frameworks, Retrieval-Augmented Generation, API-based model integrations, feature engineering, scikit-learn, deep learning frameworks, CI CD, big data tools, Prompt orchestration, QA risk management, data transformations, GenAI applications, Tool-using agents, data pipelines, Agentic workflows, data quality management, model monitoring

Sql, Python, forecasting approaches, statistical methods, machine learning techniques