causal inference , behavioral analytics , BigQuery, PostgreSQL, Pandas, Python, identity stitching, scikit-learn, PostHog, Amplitude, BI platforms, a/b testing, Mixpanel, multi-touch attribution, agentic workflows, event-driven data models, Claude MCP servers, dbt, Statistical Modeling, statsmodels, MLOps fundamentals

Sparql, Deep Learning, Tensorflow, Pytorch, Rdf, Python, AWS, Machine Learning, Google Cloud Platform, Sql, Databricks, Azure, scikit-learn, SHACL, enterprise ontologies, SAP Business Accelerator Hub, SAP Graph API, Cypher, Statistical Modeling, SKOS, SAP HANA Cloud, SAP Datasphere, GQL, owl, LLMs, generative AI, rdfs

Nlp, MLops, Deep Learning, ML AI pipelines, GenAI, LLM inference architectures, RAG systems, Agentic AI solutions, time series forecasting

causal inference , Data Architecture, Tableau, Sql, Python, AI-enabled tools, semantic layers, Amplitude, analytics tools, a/b testing, Performance Measurement, Mixpanel, product analytics, feature adoption, quasi-experimental methods, data quality instrumentation, metric definitions, funnel analysis, data science analysis

Machine Learning, Sql, MLops, Gcp, Azure, Python, AWS, Vector search, LangChain, Databricks AI Agents, Prompt engineering, LLMOps, Vector databases, Ai, Semantic Kernel, LangGraph, Embeddings, Agentic AI, LLM-based applications, LLM evaluation, RAG architectures

Databricks, Sql, Tensorflow, Deep Learning, Machine Learning, Pytorch, Sparql, AWS, Python, Azure, Rdf, Google Cloud Platform, LLMs, scikit-learn, rdfs, owl, GQL, enterprise ontologies, SAP Datasphere, SHACL, Statistical Modeling, Cypher, SAP HANA Cloud, SKOS, generative AI