At Clarity AI, I designed and implemented ESG scoring mechanisms with Product and Data Science that reduced metric-score churn by ~90% while preserving meaningful updates. I also developed Excel tools that made complex scoring logic and product outputs easier for clients and non-technical users to explore.
I contributed to GenAI-powered company reporting and NLP-based incident clustering, and led the Research workstream for a private-markets benchmarking product. My work has included translating customer needs, regulatory concepts, and complex data requirements into product methodologies, requirements, and validation criteria.
