Data Analytics Consulting Services

Roadmap

• 1

  Planning and Preparation

  

  Requirements Gathering

  We interview your team to understand your unique challenges, goals, and requirements.

  

  Data Assessment

  We evaluate the available data sources to ensure they are suitable for machine learning and assist in acquiring and structuring the data.

  

  Feature Selection 
and Engineering

  Our experts identify and optimize the most relevant data features, or variables, to enhance the performance of machine learning models.
• 2

  Model Development 
and Evaluation

  

  Algorithm Selection 
and Model Architecture

  We choose the ML algorithms and design model architectures that best align with your problem domain and data characteristics.

  

  Model Training 
and Evaluation

  The selected model undergoes extensive training and evaluation processes, ensuring it meets the required performance standards.

  

  ML Flow and Version History Creation

  We create a systematic history of model versions and their associated data to ensure transparency, reproducibility, and effective model management.
• 3

  Deployment, Monitoring, 
and Knowledge Transfer

  

  Model Deployment

  After we’ve made sure the trained ML model meets performance standards, it is deployed and integrated into your systems and applications.

  

  Optimization and Maintenance

  We optimize model hyperparameters to ensure its reliability and monitor the model performance to spot areas for improvement.

  

  Knowledge Transfer

  We provide comprehensive training and knowledge transfer on model interpretation and utilization.