
charu garg
@charugarg
I build risk analytics, reporting pipelines, and automation that turn data into leadership decisions.
What I'm looking for
I've built risk analytics, reporting pipelines, and automation across Amazon and Chubb, turning raw data into decisions leaders can act on.
At Amazon TSI Science, I own end-to-end weekly business performance reporting, defined 6+ program-specific enforcement metrics, and built an AI-powered conversational agent that saves approximately four hours each week.
I've designed risk-based seller outreach automation using 7+ business and risk signals, diagnosed a 10–12% enforcement-metric decline through cohort analysis, and engineered a production risk feature that improved conversion by 15%.
Previously at Chubb, I automated insurance reporting workflows with SQL and VBA, cutting manual effort by up to 80%, while building dashboards and climate-risk analysis workflows using Python, APIs, web scraping, and GPT-3.5 summarization.
Experience
Work history, roles, and key accomplishments
Owned end-to-end data pipelines and reporting for weekly business performance reviews, surfacing trends and anomalies to drive stakeholder decision-making. Built an AI-powered conversational agent for self-serve access to metrics, reclaiming approximately 4 hours per week.
Analyst - Data & BI
Chubb Business Services
Sep 2022 - Jul 2025 (2 years 10 months)
Conducted in-depth analysis of exposure reports across emerging climate-risk domains, surfacing evolving risk patterns to inform underwriting insights. Automated recurring reporting and analysis workflows using SQL and VBA, cutting manual effort by up to 80%.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Gandhinagar
Master of Science, Mathematics
2020 - 2022
Grade: 8.49 CGPA
Pursued MSc in Mathematics with a CGPA of 8.49, including a thesis on Unique Factorization in Dedekind Domain and Dirichlet's Unit Theorem.
University of Delhi
Bachelor of Science, Mathematics
2017 - 2020
Grade: 8.95 CGPA
Completed BSc (Hons) in Mathematics with a CGPA of 8.95.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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