I'm a finance systems and analytics leader who loves turning messy reporting into reliable decision intelligence. I began my career at Deloitte (USI) working with financial data, where I learned how processes actually break in the real world - inside spreadsheets, handoffs, and unclear ownership. To anchor my technical toolkit, I completed a master’s in Business Analytics at the University of Illinois, focusing on practical modeling, data engineering fundamentals, and communicating insights for operators and executives. Today, as FP&A Business Systems Manager at Kaiser Aluminum, I lead enterprise reporting and automation initiatives - designing architectures, Power BI experiences, and governance practices that help CFOs and controllers move from reactive reporting to repeatable, CFO‑ready insight. My work centers on scalability, clarity, and change adoption so solutions stick long after the first demo.
Published at CFO.com
Article summary: A practical five‑step playbook to stabilize fragmented reporting caused by spreadsheets, siloed ERPs, and ad‑hoc automations. The piece focuses on clarifying ownership, instituting lightweight governance, rationalizing measures, and building an executive snapshot that drills into action—so finance teams can deliver decision‑ready reporting fast.
Article summary: A case‑led walkthrough of how automation efforts produce lasting value only when paired with governance, process design, and stakeholder alignment. Using a Deming Cycle lens (Plan‑Do‑Check‑Act), it shows how to move from tools‑first pilots to outcomes‑driven transformation.
Women in Analytics — Blog
Post summary: Reframes automation as a path to better decisions—not just faster tasks. It highlights aligning projects to business outcomes, measuring adoption, and building credibility through governance.
Analyzed U.S. Airbnb listings in Tableau to identify pricing drivers and built a regression‑based model in R to estimate listing prices with ~93% accuracy.
View Project →Top‑50 nationally. Built an XGBoost model (≈87% accuracy) to identify Medicare members at risk of housing insecurity; balanced quantitative performance with qualitative impact and interpretability.
Learn More →Email: swetha.pandiri15@gmail.com
LinkedIn: linkedin.com/in/swetha-pandiri