M. Ashfaq

M. Ashfaq is an Economist and Digital Product Developer with graduate-level training in quantitative economic research. His M.Phil in Economics built deep competency in applied econometrics — studying how capital expenditure decisions respond to policy changes, interest rate signals, and market conditions. That same analytical framework now underpins how this site interprets Federal Reserve data and translates it into plain-English lending signals for US small business owners.

The problem M. Ashfaq set out to solve is specific: the Federal Reserve publishes some of the most important economic data in the world — prime rate movements, C&I lending standards, Treasury yield spreads, jobless claims — but none of it is designed to be read by a trucking operator worried about invoice factoring costs, or a retail shop owner trying to decide whether to apply for a line of credit this quarter. Professional analysts at large financial institutions synthesize this data every day and charge accordingly. Small businesses have had no equivalent resource — until now.

The US Business Funding Climate Score runs every morning at 9 AM ET, pulling the six FRED indicators most directly tied to small business credit access, computing a deterministic 0–100 score using a formula designed by a trained economist, and publishing both the score and a plain-English explanation of the mechanisms driving it. The goal is not to replace a lender or financial advisor. The goal is to give every Main Street business owner the same situational awareness that their bank's risk team has — free, daily, and without jargon.

M. Ashfaq holds a Bachelor of Commerce (B.Com) and an M.Phil in Economics. His graduate research focused on the quantitative relationship between public investment policy and capital market responses — a body of work that requires the same skills this project demands: identifying which indicators matter, understanding the transmission mechanism between macroeconomic signals and real-world outcomes, and communicating complex data clearly to non-specialist audiences.

Beyond the economics, M. Ashfaq builds and operates the full technical stack himself: the Python data pipeline, the CrewAI multi-agent analysis system, the Next.js frontend, the Supabase database, and the GitHub Actions automation that keeps everything running daily. The site has zero operational cost beyond the domain — built to be sustainable at any traffic level.