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Global Pricing & Forecasting Platform
40,000+ Data Points12 Commodities
Context: Argus Media – global commodity pricing (FinTech).
Challenge: Legacy Excel-Access macro pipelines causing delays, errors, and maintenance nightmares. Needed scalable, auditable real-time dashboards.
Solution: Migrated 4 legacy pipelines to Oracle and R Shiny. Built production-grade dashboards using Golem architecture. Developed predictive analytics and time-series forecasting models using regression and statistical methods.
Outcome: Supports 40,000+ live price data points across 12 commodity categories. Enabled a 600+ person global editorial team to move from reactive to proactive, data-driven intelligence.
Tech Stack:
R ShinyGolemOracleGemini LLMPythonPosit ConnectForecastingAnomaly Detection