XGBoost, Advanced Sql, Class Weights, Airflow, SMOTE, SHAP, LightGBM, MLflow, Gradient Boosting frameworks, CatBoost, Scikit-Learn

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

Unsupervised Learning, Tensorflow, Nlp, Pandas, Pytorch, Gcp, Docker, Kubernetes, Python, AWS, LangChain, Airflow, scikit-learn, NoSQL databases, time-series modeling, supervised learning, MLflow, vLLM, LMDeploy, LangGraph, Kubeflow, model risk management, AI governance

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

Ml, Databases, Data Management, Data Warehousing, Data Analytics, Data Integration, Ai, Business Intelligence

Data Science, Machine Learning, Marketing Automation, Marketo, Salesforce, Cdp, Data Pipelines, Experimentation Platforms, Ai, CRM

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

Statistical Analysis, Data Science, Tableau, Python, Sql, R