Banks and fintechs without a large in-house data team
A working data product in production: self-service analytics, plain-English data questions, or performance dashboards.
In most institutions, a manager who needs a number waits days for a small analytics team to produce a report. Dashboards get built, launched, and quietly abandoned because they answer questions nobody was asking.
A data product is different: it is designed with the people who will use it, owned like any other product, and measured by whether it gets used. I build data products end to end, from the business problem to a governed product in production.
Examples include a productivity-analytics platform used by more than 3,000 bank staff and a natural-language-to-SQL engine that lets non-technical staff query core banking data in plain English.
Reports take days, managers wait on a small analytics team, and dashboards get built but not used.
Format
Scoped sprint, typically six to ten weeks
Why me
Built a natural-language-to-SQL engine and a productivity-analytics platform used by more than 3,000 bank staff.
Describe the problem in a few lines. I will tell you honestly whether I can help, and if not, who might.
