Bithi Nath

I spent the last two years inside the financial engine room of a manufacturing business — reconciling bank statements against SAP, building cash flow and AR aging reports for the CFO, and auditing purchase orders and GRNs closely enough to cut error rates by 80%.

That work taught me something most data analysts learn the hard way: numbers only matter when someone trusts them. Every dashboard I now build in Tableau and Power BI carries that same instinct — clean the data the way you'd clean a ledger before an audit, then let the chart do the talking.

I'm currently deepening that shift with hands-on Python, SQL, and Bl projects, and a formal Data Science course. The goal is simple: bring financial rigor into analytics teams that need someone who already understands where the numbers come from.