causal inference , Sql, Python, difference-in-differences, MILP, uplift modelling, constrained optimisation, observational causal methods, optimising promotions, Lagrangian methods, synthetic control, instrumental variables, deep uplift architectures, propensity weighting, marketing incentives, heterogeneous treatment effect estimation, DR-learner, meta-learners, S T X R causal forests, Pricing

Orchestration, Sql, Nlp, Spark, Python, feature stores, LLMs, AI Agents, Time-series, Semantic Layer, MLflow, ML stack, anomaly detection, vector DBs, RAG, Recommenders, Knowledge Graphs

snowflake , Power Bi, Tableau, Sql, Tensorflow, Pandas, Numpy, Pytorch, Qlik, Databricks, Python, Airflow, scikit-learn, AWS Sagemaker, Nifi

Time Series, Pyspark, Azure Databricks, Unsupervised Learning, Sql, Deep Learning, Nlp, Docker, Kubernetes, Python, supervised learning, ensemble methods, GenAI applications, CI CD pipelines, advanced algorithms

Machine Learning, Artificial Intelligence, Data Science, Data Quality, Generative AI, Cost Optimization, Retrieval-Augmented Generation, Technical Quality Bar Setting, AI Solution Design, Responsible AI Practices, Model Governance, AI Evaluation, Model Performance Monitoring, Enterprise AI Delivery, Large Language Models

Apis, Collibra, Sql, Spark, Databricks, Python, data integration patterns, cdc, messaging systems, event-driven architectures, streaming files, metadata repositories, Delta Lake, data catalogs

Data Management, Machine Learning, Excel, Artificial Intelligence, Ms Windows, Word, Data Analysis, Medical Terminology, Relational database management software, Project management, Powerpoint, Analytic modeling methods, Data Review, ICH GCP regulatory requirements, Clinical Data Science

MLops, Databricks, Python, Sql, AWS, GenAI, data pipelines, analytics architectures