1. Risk Modelling - Led a cross-functional team (Engineering, Data Science, Design) to launch a

risk-segmented auction buying experience by leveraging behavioral modeling of historical purchase data;

introduced targeted shipping and checkout flows, driving $50M incremental sales volume.

2. Intelligent Recommendation Platform: Drove the execution for a recommendation platform to present a

single, highly-relevant recommended item including dynamic pricing and targeted user experience on checkout

success page (XOS) that brought an incremental sales volume of $100M.

3. Live Stream Shopping - Drove roadmap and execution for core commerce enhancements on eBay Live,

strengthening purchase transparency and transactional efficiency through policy visibility, promotional

integration, multi-SKU merchandising, and streamlined checkout experiences.

4. Checkout optimization: Led multiple eng teams to test (10+ A/B test), enhancements to the purchase funnel,

launch of new ‘buy again’ CTA on order details - unlocked an incremental sales volume of ~15MM and 3%

increase in bought items.

5. Buyer experience - Owned the end-to-end delivery of a launching a new buyer experience involving

collecting payment and other details prior to buyers bidding in auctions and offers flows that resulted in an

incremental $100 million GMB and also increased the CSAT of new C2C sellers by 10-15%.

6. CRM & Onsite Messaging — Partnered with CRM to define requirements and personalize buyer-facing

email and push notification experiences across offers, auctions, and payments flows.

7. Net terms for business buyers : Architected a comprehensive B2B payment strategy by evaluating and selecting top-tier Net Terms providers such as Affirm and TreviPay.

Worked as an intern on the cart and checkout experiences team to ideate and implement a prioritisation framework based on ML signals and rule-based logic to show badges and signals in cart and checkout.

• Collaborated with a team of 3 members to assess the range of IoT technologies that can be incorporated into commercial high purity water systems to improve service delivery.

• Evaluated how IoT data can be leveraged to improve preventative maintenance and troubleshooting.

• Delivered a formal recommendation to the client’s executive leadership team covering technical, financial and strategic insights relevant to incorporating IoT technology into its systems in the next 1-2 years.

• Automated the end-to-end data pipeline using Python and SQL which reduced the data migration time from traditional to modern Salesforce system from 1 month to 2 weeks.

• Saved the client $30M by migrating data, while working with international stakeholders.

• Led a team of 50 collaborators to deliver an AI based solution to the client for preventing crashes and contributed to the UN Sustainable Development Goal to halve road deaths and injuries by 2030.

• Formulated and implemented practices and metrics to measure team participation; boosted

productivity by 20%.