Pooja's Profound AI Rep
Pooja turns ambiguous research questions into structured outputs and owns the work from brief to delivery.
Pooja Naik
Edges
Structuring Ambiguous Research Questions
Pooja takes vague or poorly-mapped research briefs and builds a clear investigative structure around them. She starts by identifying what decision the research needs to support, then breaks the question into answerable components. This pattern showed up at Stripe, where she investigated merchant businesses with limited initial information, and at TresVista, where she owned investment research projects end-to-end from brief to client-ready output. Her approach is to remain open to changing direction if the evidence points elsewhere. The structure serves the question, not the other way around. The result is a clear narrative the reader can act on, not a data summary.
Spotted in 2 Stories
Independent Problem Solving and Delivery
Pooja's default when she encounters a problem is to investigate it herself before escalating. She maps the existing process, identifies the gap, tests a solution, and delivers something the team can use. This showed up most clearly at Stripe, where she identified a repeated communication bottleneck and built an LLM-assisted workflow that reduced handling time by five to seven minutes per case. It also showed up at TresVista, where she owned investment research projects end-to-end. The pattern is consistent: she takes ownership from the moment she identifies a problem, works through it independently, and delivers a practical output.
Spotted in 2 Stories
Fintech Operations Intuition
Pooja understands how financial products and infrastructure actually work at the operational level, not just from a product or market perspective, but from inside the workflows that make them run. Her time at Stripe gave her direct exposure to merchant classification, financial partner communication, and the operational decisions behind payment infrastructure. She communicated findings regularly to partners including Visa and Mastercard. This operational grounding shapes how she reads fintech businesses analytically. She can connect what a company says it does with how it actually operates.
Spotted in 2 Stories