Work / Engineering simulation data · 2025

SmartSimAnalytics

Role

Full-stack developer

Services

Full-stack · Data

A full-stack analytics workspace that turns raw simulation exports into explainable engineering signals.

01 / The problem

Simulation teams receive dense CSV and JSON exports, but extracting stability, anomalies and useful comparisons requires repeated manual analysis.

02 / My response

I connected a responsive React workspace to an Express API and Python analytics service. The system validates uploads, calculates KPIs, detects anomalies and turns the output into interactive charts and reports.

What changed

Automated signal KPI calculation

Detected anomalies in uploaded datasets

Combined analysis, visualization and reporting

SmartSim signal analysis — 02Signal analysis combines plots and engineering metrics in one workspace.

SmartSim anomaly detection — 03Detected anomalies are surfaced with enough context for investigation.

Engineering decisions

The choices behind the interface.

Python analytics service

Kept numerical processing close to pandas, NumPy, SciPy and scikit-learn while the product layer remained TypeScript-based.

Project-based workspace

Grouped files, analyses and reports by engineering project to preserve context.

Explainable results

Paired charts with KPIs and recommendations so findings are useful beyond a single visualization.

Stack & capabilities

ReactTypeScriptExpressMongoDBPythonRechartsDocker

View source on GitHub ↗

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