AI & Data Workflow Starter Package

$0.00

One-time Project | Price Determined by Client Need & Requires Consultation

Transform raw data into insights using practical AI and machine learning.

Perfect for businesses wanting to leverage AI without the overwhelm, this package delivers a complete data ingestion workflow using S3, Python, and Lambda. We clean, structure, and analyze your data using tools like Pandas and NumPy, then build a lightweight machine learning model (classification or forecasting) to generate meaningful insights. You’ll receive recommendations for deployment, plus visual dashboards built with Matplotlib, Seaborn, or Tableau to help your team interpret results at a glance. From forecasting trends to automating document processing, this package brings AI to your everyday operations.

What’s included:

  • Data ingestion pipeline (S3, Python, Lambda)

  • Data cleaning & transformation (Pandas/Numpy)

  • Basic ML model prototype (regression/classification)

  • Model evaluation + deployment recommendation

  • Visual dashboards (Matplotlib/Seaborn/Tableau)

  • Describe important details like price, value, length of service, and why it’s unique. Or use these sections to showcase different key values of your products or services.

One-time Project | Price Determined by Client Need & Requires Consultation

Transform raw data into insights using practical AI and machine learning.

Perfect for businesses wanting to leverage AI without the overwhelm, this package delivers a complete data ingestion workflow using S3, Python, and Lambda. We clean, structure, and analyze your data using tools like Pandas and NumPy, then build a lightweight machine learning model (classification or forecasting) to generate meaningful insights. You’ll receive recommendations for deployment, plus visual dashboards built with Matplotlib, Seaborn, or Tableau to help your team interpret results at a glance. From forecasting trends to automating document processing, this package brings AI to your everyday operations.

What’s included:

  • Data ingestion pipeline (S3, Python, Lambda)

  • Data cleaning & transformation (Pandas/Numpy)

  • Basic ML model prototype (regression/classification)

  • Model evaluation + deployment recommendation

  • Visual dashboards (Matplotlib/Seaborn/Tableau)

  • Describe important details like price, value, length of service, and why it’s unique. Or use these sections to showcase different key values of your products or services.