DeepData

All kinds of projects around data

Apply business analytics, and create a mix of data engineering and sciences to build relevant solutions. Apply Machine Learning from the ground up on use-cases like predictive analytics, NLP, recommender systems and so much more.

Our team can handle the end-to-end management of big data infrastructure—from data acquisition to data cleansing to model creation—on-premise or on managed cloud infrastructures like AWS, Azure or GCP.

What we build

From raw data to deployed models—we cover the full canvas of data work.

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Business Analytics

Don't let your data sit idle. Build dashboards and apply statistical methods to gain deeper insights from both historical and real-time data and improve decision-making.

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Data Engineering

Scalable infrastructure to collect, analyze and secure your terabytes of data—data ingestion, preparation, pipelining, analysis and warehousing using industry best practices.

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Machine Learning

Apply ML from the ground up across use-cases: predictive analytics, NLP, recommender systems, churn modelling, sales forecasting and more.

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End-to-End Big Data

Our team handles the full lifecycle of big data infrastructure—from data acquisition to data cleansing to model creation—on-premise or on the cloud.

Use-cases we deliver

  • check_circlePredictive analytics & predictive maintenance
  • check_circleNatural Language Processing (NLP)
  • check_circleRecommender systems
  • check_circleChurn modelling & customer segmentation
  • check_circleSales forecasting
  • check_circleReal-time data dashboards

Deploy anywhere

We deploy on your infrastructure or managed cloud infrastructures—wherever your data needs to live.

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Discover unseen knowledge in your data

Tell us what you are trying to learn from your data, and we'll engineer the pipeline, model and dashboards to get you there.

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