Summary
Arsalan Ahmed is a data analyst with a decade of experience building analytics and AI-driven decision systems that translate customer behaviour, product performance, and market signals into strategic action. He combines hands-on engineering—SQL, Python, Snowflake, Airflow, OpenAI/Claude embeddings—and product-focused analytics to deliver use cases across loyalty, cohort and cross-shopper analysis, pricing, store-level performance, clickstream intent, and recommendation systems. His career spans early-stage product engineering to enterprise analytics platforms, including leading ETL and observability work in healthcare, identity verification, and talent intelligence products. He is particularly focused on evolving analytics from descriptive dashboards to decision support that detects change and explains drivers for product, marketing, and leadership teams. Practical and experimental, he has prototyped Claude-assisted visualisations and RAG-based semantic search pipelines, showing a knack for marrying cutting-edge LLM tooling with robust data engineering. Based in Melbourne, he brings both breadth across data disciplines and a track record of shipping applied AI features that meaningfully impact business metrics.
10 years of coding experience
3 years of employment as a software developer
O-levels, Computer Science, O-levels, Computer Science at The City School
University of Wisconsin-Madison
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
A-levels, Computer Science, A-levels, Computer Science at The Lyceum