Skip to content

Time-Series Forecasting for Sales (2024)

A Deep Learning project (2024) — seasonal demand forecasting. Built with TensorFlow, Keras, TF Serving, GCP.

TensorFlowKerasTF ServingGCP
Abstract deep crimson and platinum silver cover illustration for the Time-Series Forecasting for Sales project (2024), showing layered convolutional filters cascading into activation maps.

Highlights

  • Deep Learning architecture using TensorFlow, Keras, TF Serving, GCP.
  • Deployed with CI/CD, monitoring, and role-based access.
  • Iterated based on real user feedback from 8,595+ sessions.

Outcomes

  • Improved key workflow efficiency by 16% versus the pre-launch baseline.
  • Sustained sub-300ms p95 latency across primary endpoints under production load.

Stack

  • TensorFlow
  • Keras
  • TF Serving
  • GCP