Akshat P.

Background

About Akshat P.

I ask a lot of questions. Then I build systems to answer them. I work at the intersection of data science and product—designing infrastructure and models that help teams move faster, test better, and make smarter decisions. My focus lies in high-impact problems where business context, machine learning, and experimentation converge—especially in fintech. From optimizing acquisition funnels to segmenting risk profiles, I collaborate across product, marketing, and engineering to translate ambiguity into action. I’ve built scalable pipelines on Snowflake and AWS, implemented A/B testing frameworks, and led modeling initiatives that improved conversion, targeting accuracy, and speed to insight. Trained in data science at the University of Michigan, I bring a pragmatic mindset to every project: start with clarity, measure what matters, and ship solutions that can evolve. Whether it's clustering to support personalization or transforming raw text into decision-ready features, I enjoy taking messy questions and turning them into structured outcomes. Currently, I work on data-driven growth strategy in lending and credit cards—supporting customer acquisition through experimentation, modeling, and infrastructure. Previously, I’ve contributed to fraud detection, insurance product optimization, and real-time text classification. If you're building products where data isn't an afterthought—it's part of the design—I’d love to connect.