Akash Williams
@akashwilliams
I build product analytics and payment insights that improve conversion, reliability, and growth.
What I'm looking for
At Razorpay, I own end-to-end product analytics for Network Tokenisation, using payment data to improve checkout success rates, monitor performance, and uncover growth opportunities. My CVV-less flow recommendation lifted success rate by 2%, while my analysis of an in-session retry feature estimated Rs. 2 Cr in monthly GMV impact.
I build self-serve KPI dashboards, scalable SQL analyses, and monitoring systems that help Product Managers, Engineering Managers, and leadership act on real-time data. I’ve defined metrics across success rates, drop-offs, settlement TAT, and payment performance, reducing reporting preparation by 90% and manual requests by 22%.
Previously at Dehaat, I partnered across Product, Marketing, and Category to improve onboarding conversion, automate reporting, resolve data inconsistencies, and ship a route-optimization algorithm that improved rupee efficiency by 10%.
Experience
Work history, roles, and key accomplishments
Owned end-to-end product analytics for Network Tokenisation, identifying CVV entry as a key friction point and recommending a CVV-less flow that lifted success rate by 2%. Built automated dashboards and monitoring layers, cutting report prep by 90% and manual requests by 22%, and designed A/B tests that recovered failed payments, contributing an estimated Rs. 2 Cr in monthly GMV.
Education
Degrees, certifications, and relevant coursework
CHRIST University, Delhi NCR
Bachelor of Science, Economics, Mathematics and Statistics
2020 - 2023
Grade: 3.43/4 CGPA
Pursued a Bachelor of Science in Economics, Mathematics and Statistics, achieving a CGPA of 3.43/4.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
datascienceportfol.io/akashbwilliamsJob categories
Skills
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