We work on recommendation engine to filter the data of the past behavior of a customer using varied algorithms and recommend the most relevant items to users.
Through analytics we focus on using insights derived from data to make more informed decisions that will help organizations increase sales, reduce costs, and make other business improvements.
We implement automation technologies, techniques and processes to improve the efficiency, reliability, and speed of many tasks that were previously performed by humans.
We have our hands on NLP to take real-world input, process and conceptualize it, and make sense of it in a way a computer can understand natural language as humans do.
We work on Time Series Analysis to analyse time series data in order to extract meaningful statistics and other features of the data to predict future values based on previously observed values.