Data Analysis

  • Exploratory data analysis
  • Data quality assessment
  • Data cleaning and structuring
  • Data capture planning
  • Data characterization
  • Data visualization

Machine Learning Models

  • Model strategy selection based on data characterization
  • Model validation and assessment
  • Feature engineering
  • Model tuning using advanced techniques like Bayesian Optimization
  • Expertise with advanced machine learning methods like deep learning, kernel methods and Bayesian non-parametric

Application Development

  • Identifying opportunities to leverage your data with machine learning
  • Constructing data pipelines for machine learning
  • Micro-services architecture REST API integration with your applications
  • Integration with cloud infrastructure