Data Science and analytics

Data Science

We are involved in all the life cycle of Data. We undertake data collection (Data Ingestion) for both raw structured and unstructured data from all relevant sources using a variety of methods.  We also assess data’ quality,  data storage and data processing. We further clean and streamline datasets and we organize and structure data for analysis. We conduct exploratory data analysis to examine biases, patterns, ranges, and distributions of values within the data. 

Data analytics

The data analytics allows us to model efforts for predictive analytics, machine learning, and deep learning. We communicate insights/ results as reports and other data visualizations that make the insights easier for business analysts and other decision-makers to understand.