There is much excitement about big data, machine learning, AI; however, there are very few companies that can make these technologies work for them.
We believe there are two reasons for this.
Firstly, solving data science problems is as much an art as science. Every problem statement is different and requires a custom solution. Subtle nuances in problem statements or data often can result in entirely different solutions. They are, in general, difficult to scope and, therefore, rather unsuited for typical service/outsourcing model.
Secondly, there is an absolute shortage of good technologists who are also competent statisticians and analysts, so one has to be a little lucky to find them and even more to retain them. This shortage makes it difficult to build in-house teams, and even more so, if there were limited or no data-science skills already present in the company.
We at Pyrsquare we solve both these problems and offer a working model, where we can treat our team as just an extension of yours. We take your project ideas, brainstorm, experiment, refine, iterate, and turn those ideas into success.