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Machine Learning @ ooresAnalytics

Overview

Machine Learning (ML) is all about building systems that can learn from data to make predictions, find patterns, or make decisions, all without being explicitly programmed for every scenario.

@ooresAnalytics, our ML workflow and what you expect typically includes:

  1. Initial meeting to scope the project
  2. Proposal & timeline
  3. Managing expectations (such as limitations of data)
  4. Analysis & interpretation
  5. Report writing or publication support
  6. Follow-up for revisions or new questions
  7.  

Understanding the Problem

Collecting and Preparing Data

Choosing a Model

Training a Model

Evaluating the Model

Tuning and Optimization

Deploying the Model

Monitoring and Updating

Who can benefit from our Machine Learning services?

  • Healthcare professionals, Public Health agencies: (e.g., use ML models to predict the likelihood of stroke from EHR data, improving early intervention, predict patient readmissions)
  • Educators, EdTech Companies: (e.g., using ML models to track student performance, predict who needs support, personalize learning content & intelligent tutoring systems)
  • Pharma/biotech companies, retailers, logistics teams, e-commerce platforms: (e.g., using ML models to predict inventory needs, optimize pricing, personalize marketing, forecast demand and improve supply chains, flagging suspicious transactions in real-time)
  • Graduate students: (get help in deploying ML models for data analysis, project support)
  • Non-governmental organizations (NGO): (predict regions at risk of famine, disease outbreaks, natural disasters; prioritize which communities should receive vaccines, education, relief supplies, program evaluation & impact assessment – analyze program outcomes automatically)