About

I'm Sudharsan, a data and analytics professional with over ten years of experience across retail, e-commerce, technology and financial services. I turn customer and product data into decisions, through experimentation and machine learning, and through the pipelines and dashboards that put the answers in front of the people who act on them. My most recent project is apublic pipeline on Singapore resale housing data.

I currently lead customer and marketing analytics for an e-commerce business at a large Singapore retailer, working alongside product, marketing and engineering teams. Before that I built machine learning products as a senior data scientist at a global consumer-products company. I began my career at an analytics firm, solving problems for clients in retail, e-commerce and financial services. I hold a Master's in Business Analytics from the National University of Singapore, where my team won the 2017 NUS Business Analytics Innovation Challenge.

My day-to-day toolkit is Python, SQL and R, with Airflow, dbt, BigQuery, Docker and Terraform for data pipelines and Looker Studio for dashboards. The topics I keep coming back to are A/B testing and experimentation, customer analytics, machine learning, data and analytics engineering, forecasting, and natural language processing.

Outside work I play tennis, watch football and backpack to far-flung places. I've also volunteered my analytics skills with an NGO that uses data for women's safety.

I like learning from people. If you want to talk data, tennis or football, find me onGitHub or LinkedIn. The work shown on this site uses public data only.