Data Science and Machine Learning Engineering

Realize the value of AI.

We help organizations make proactive decisions through application of data analysis, statistical models, and machine learning to power their business with AI.

  • We create models that enable more efficient business processes and personalized customer interaction through exploratory data analysis and hypothesis based analytics. Then, we manage, deploy, and monitor our ML-enabled solutions using MLOps.

  • Predictive Analytics for Customer Relationship Management

    Segmentation and Targeting

    360 Degree View of the Customer Insights

    Customer Lifetime Value

    Campaign Analytics

    Lead and Funnel Management Analytics

    Retention and Churn Analytics

    Cross/Up-sell Analytics and Recommendation Engines

    Customer Journey Analysis

    Web and Clickstream Analytics

    Personalization

    Predictive Analytics for Operations and Industry

    Demand Forecasting

    Inventory Management Analytics

    Marketing Mix Optimization

    Marketing and Advertising Attribution

    Asset Maintenance

    Propensity Modeling

    Human Capital Analytics

    Finance Analytics

    Fraud and Anomaly Detection

    Customer Support Analytics

    Geospatial Processing and Analytics

    Machine Learning Engineering

    MLOps Standard Operating Procedures

    Machine Learning Lifecycle Management

    Experiment Tracking for Team Collaboration

    Automated Training and Hyperparameter Tuning

    Model Pipeline Orchestration and Deployment

    Model Serving with Production Model Monitoring and Observability

    Real-time Reinforcement with A/B, Challenger/Champion and Multi-Arm Bandits

    Model Metadata Management and Governance

    Custom Machine Learning Application Integration

  • In addition to traditional machine learning, deep learning and reinforcement learning, our artificial intelligence experience will empower your business with natural language processing, chatbots, computer vision and image recognition to support a wide variety of use cases.

We create models that enable more efficient business processes and personalized customer interaction through exploratory data analysis and hypothesis based analytics. Then, we manage, deploy, and monitor our ML-enabled solutions using MLOps.

Predictive Analytics for Customer Relationship Management

Segmentation and Targeting

360 Degree View of the Customer Insights

Customer Lifetime Value

Campaign Analytics

Lead and Funnel Management Analytics

Retention and Churn Analytics

Cross/Up-sell Analytics and Recommendation Engines

Customer Journey Analysis

Web and Clickstream Analytics

Personalization

Predictive Analytics for Operations and Industry

Demand Forecasting

Inventory Management Analytics

Marketing Mix Optimization

Marketing and Advertising Attribution

Asset Maintenance

Propensity Modeling

Human Capital Analytics

Finance Analytics

Fraud and Anomaly Detection

Customer Support Analytics

Geospatial Processing and Analytics

Machine Learning Engineering

MLOps Standard Operating Procedures

Machine Learning Lifecycle Management

Experiment Tracking for Team Collaboration

Automated Training and Hyperparameter Tuning

Model Pipeline Orchestration and Deployment

Model Serving with Production Model Monitoring and Observability

Real-time Reinforcement with A/B, Challenger/Champion and Multi-Arm Bandits

Model Metadata Management and Governance

Custom Machine Learning Application Integration

In addition to traditional machine learning, deep learning and reinforcement learning, our artificial intelligence experience will empower your business with natural language processing, chatbots, computer vision and image recognition to support a wide variety of use cases.