Data Quality & Data Profiling, Master Data
Data science consultancy service to solve problems through the statistical analysis of data and applying complex algorithms. We use an iterative data science methodology to deliver predictive analytics solutions and intelligent applications. We deliver design, develop, test and deploy solutions built using machine learning and artificial intelligence.
- Delivered through Agile project methodologies, backed by DataOps processes.
- Includes stakeholder workshops to agree requirements and solution approach.
- Produces ML models in multiple programming languages; Python, R, Scala.
- Develops end-to-end pipelines for ML models with Microsoft Azure technologies.
- Includes Data ingestion, processing, modelling, and visualisation in Power BI.
- Utilises data science libraries, TensorFlow, Pytorch, Keras, Pandas, Numpy etc.
- Delivered by an Azure Expert MSP accredited Microsoft partner.
- Full lifecycle project management delivered by certified project managers.
- Takes advantage of cost-effective services available in the cloud.
- Alignment to Microsoft Team Data Science process (or client’s process).
- Solutions provide measurable value using AI and predictive modelling.
- Leverage the benefits of Microsoft Azure and open source packages.
- End-to-end lifecycle from discovery to operationalising.
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