Data Analyst and AI Automation Engineer with experience in real asset data operations, workflow automation, and multi-agent AI systems. Currently working at MSCI, where I analyze institutional asset fund data and build Python- and macro-driven automation solutions that improve operational efficiency and data accuracy by up to 70%.
Experienced in developing multi-AI agent architectures using LangChain, LangGraph, Langflow and n8n, integrating structured and unstructured data sources (CSV, PDF, SQL) to streamline analytical workflows. Strong foundation in machine learning, data validation, and scalable data processing, with hands-on experience across cloud platforms including Azure, AWS, Snowflake, BigQuery, and Databricks.
Technically versatile across full-stack development and data engineering, with proficiency in Python, SQL, Java, and modern frameworks (Django, .NET, NodeJS). Passionate about transforming manual operational processes into intelligent, automated systems that enable higher-value strategic analysis.
