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Data Science Consulting Services

Data science services help companies run experiments on their data in search of business insights. Celestials Technologies renders data science consulting leveraging Machine Learning, Artificial Intelligence, and Deep Learning technologies to meet our clients’ most deliberate analytics needs.

What Our Data Science Services Include?

  1. Business needs analysis.
  2. Outlining business objectives to meet with data science. 
  3. Defining issues with the existing data science solution (if any).
  4. Deciding on data science deliverables.
  5. Data preparation.
  6. Machine learning (ML) model design and development.
  7.  Choice of the optimal data science techniques and methods.
  8. ML model evaluation and tuning. 
  9. Delivering data science output in an agreed format.
  10. User & admin training, data science support consultations.

Use Cases Celestials Technologies  Covers with Data Science Services

Operational intelligence

Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting.

Supply chain management

Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier- and risk assessment.

Dymanic route optimization

ML-based recommendation of the optimal delivery route based on the analysis of vehicle maintenance data, real-time GPS data, route traffic data, road maintenance data, weather data, etc.

Customer experience personalization

Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.

Cooperation Models We Offer

Data science solution implementation

Easy access to the required experience or resources. Building a smoothly functioning data science solution tailored to your unique business needs.

Data science improvement consulting

Strategic and tactical guidance. Overcoming problems (noisy or dirty data, inaccurate predictions, etc.) in a data science project.

Ongoing data science consulting and support

Continuous support and evolution of your data science initiative to increase the quality of insights. Adjusting the ML models to the changing environment.

Data science as a service (DSaaS) and Solution

No investment in in-house data science competencies. Getting advanced data analytics insights derived with data science tools and technologies.

Awards and Achievements

We are proud to be recognized as a top service provider by these platforms.