Build and own end-to-end components of an AI agentic system for investment funds using Python and GCP, focusing on LLM/agent pipelines and infrastructure.
Analyze client data to uncover trends and growth opportunities for a marketing analytics platform, collaborating with cross-functional teams to translate complex datasets into actionable business insights and leading client-facing business reviews on campaign performance.
Build and deploy ML models for a marketing analytics platform, covering revenue forecasting, audience segmentation, and anomaly detection. Work with Python, AWS, dbt, Snowflake, and Airflow in a senior data science/ML engineering role.
Designs, builds, and maintains data pipelines and a Snowflake-based data warehouse for a performance-marketing analytics platform using Data Vault, dbt, and ELT workflows.
Own end-to-end data warehouse architecture for a performance-marketing analytics platform, designing data models, pipelines, and governance frameworks using dbt, Snowflake/BigQuery/Redshift, and orchestration tools. Mentor the data engineering team and collaborate with product and analytics stakeholders.
Builds and maintains the frontend of a marketing analytics platform using React, TypeScript, and related tools, while contributing to backend-for-frontend services and API design.