Amay M.

About Amay M.

I’m a third-year associate in Travelers’ Business Insights & Analytics Leadership Development Program (BI & A LDP), with experience spanning data engineering, business analytics, and enterprise data strategy.My rotations have covered financial analytics, people analytics, and most recently, technical data engineering within Personal Insurance (PI). Currently, I support the PI Marketing & Distribution organization as part of the Data Discovery & Management team—building governed, reusable data pipelines and data products that power internal predictive models. My work spans Databricks, dbt, SQL, PySpark, and Snowflake, with recent focus areas in MLOps workflows and model monitoring.I’ve engaged with leaders across the enterprise through the Business Insights & Delivery (BID) and Decision Science Centers of Practice (COPs), contributing to initiatives that blend data infrastructure with insight delivery. These experiences have strengthened my ability to translate business needs into scalable, production-grade systems that deliver measurable value.Outside of work, I enjoy researching equity markets and following corporate strategy, especially through the lens of behavioral finance and macro themes. I’m also passionate about electronic music, modern history, and discovering new places—whether it’s through travel or the architecture of cities I’ve lived in like Boston and Mumbai.

Experience

1. Data Engineer (Bi & a Ldp) Personal Insurance

   Travelers

   Dec 2025 — Present · Boston, MA, US

   Build and maintain production data pipelines and curated datasets supporting marketing and distribution analytics within Personal Insurance.• Develop analytics-ready data products using Databricks, Snowflake, dbt, SQL, and PySpark, with a focus on data modeling, reliability, and validation.• Partner with data scientists and analysts to productionize datasets used in predictive models and downstream reporting.• Implement data quality checks, version control, and governed workflows to ensure correctness and scalability in enterprise environments.• Work cross-functionally with engineering and business stakeholders to translate ambiguous requirements into production-grade data systems.

Education

• Babson College

  Bachelor of Science - BS, Business Administration and Management

  2019 — 2023

• The Bombay International School

  International Baccalaureate

  2017 — 2019

• The London School of Economics and Political Science (LSE)

  General Course, Economics, Finance