Supply Chain & Operations Data Analyst — turning transactional noise into forecast accuracy, OTIF gains, and dashboards leadership actually reads. SQL · Power BI · Python · Lean Six Sigma Green Belt · MBA (Operations).
I spend my time where operational data meets decisions that cost real money — demand forecasts that set inventory levels, OTIF numbers that trigger vendor conversations, supplier risk scores that decide who gets the next contract.
Four years in, my toolkit spans SQL, Power BI, Tableau, Python (Pandas/NumPy), and Excel, layered on an engineering (B.E.) and MBA (Operations Management) foundation, plus a Lean Six Sigma Green Belt for when the fix isn't a dashboard but a process.
Before analytics, I spent four years as a Quality Control Engineer on manufacturing floors — which is why my dashboards tend to ask "so what do we do about this" rather than just report the number.
Improved forecast accuracy and gave planning teams early visibility into demand shifts — leaner inventory, fewer stockout-driven escalations.
Cut manual reporting turnaround time significantly and gave leadership real-time visibility for faster corrective action.
Gave category managers an early-warning view of supplier risk instead of reacting only after a disruption occurred.