Data Engineering · Simulation

Random Walk Pipeline

A reproducible environment to generate, process and visualize stochastic random walk trajectories at scale.

Context

Simulation workflows

Date

2024

Role

Developer

Context

Simulation experiments were dispersed across notebooks, making systematic comparisons harder.

Approach

  • Parameterized random walk generator
  • Batch execution and aggregated metrics
  • Interactive plots for distribution and trajectory behavior

Solution

The pipeline provides consistent experiment runs and unified outputs for analysis, teaching and prototyping.

Key outcome

Higher reproducibility and faster iteration for stochastic process exploration.