Data Science
LISTEN TO YOUR DATA. IT HAS THE KEY TO UNPRECEDENTED GROWTH.
We help businesses minimize revenue leakages and drive productivity using advanced data science solutions
In this data age, the volume and value of data are increasing exponentially. The time is ripe to use advanced data modeling and mining techniques that give you the predictive and prescriptive edge over the competition. We can help you adopt this shift by combining algorithm development with big data analytics. Our team of data engineers, big data specialists, and data scientists bring a holistic approach and deliver cutting-edge analytics solutions based on battle-tested data science methods.
Our Data Science Offerings
Big Data
In data science, 80% of the effort goes into data management while only 20% into actual analysis and model building. We build a big data ecosystem to manage unstructured data at scale, allowing high volume, velocity, and variety. With extensive knowledge of Hadoop, data lakes, real-time ingestion, and stream processing, our big data engineers are well equipped to create and use high-quality datasets for data science exploration.
Data Wrangling
The accuracy of your ML model depends on the quality of your dataset. Converting raw data into the required format and making it ready for mining is essential in Data Science. We determine your dataset, structure schema, address data quality issues, enrich by joining relevant datasets, and validate the wrangled output dataset quality over the intended structure for precise data analysis.
Data Modelling
Extract unknown patterns, predictable insights, and identify relationships from raw datasets. We help you build, train and validate models on the wrangled data to test the hypothesis. Our data scientists with expertise in various data mining algorithms and techniques like classification, clustering, regression, and neural networks help discover knowledge from information systems.
Pre-trained Models
Developing and training ML models is a core and time-consuming activity. Now, AI software start-ups and cloud vendors like AWS, Azure are slashing this effort by launching ready-to-use pre-trained models for key use cases. We can implement these packaged services to produce insights right away for applications like segmentation, predictions, recommendations, and anomaly detection.