At Tidyquant, we are a team of Machine Learning Engineers & Data Scientists who are passionate and committed to solve real world business problems. So, we work across end-to-end product development cycle starting from gathering business requirements, ingesting the data and turning that ingested data into a valuable asset for our clients. At Tidyquant, we have been developing niche' solutions in the field of Artificial Intelligence, Machine and Deep learning over the last two years now. We also take pride in our expertise in developing IoT solutions. So, by bridging the gap between artificial intelligence and embedded electronics, we have been developing a few prototypes of smart IoT solutions such as Tidybox, Tidymatics, Tidyvision and Tidycare. Please feel free to check them out on our website. So, our main goal is to optimise the core engine of our clients’ business by solving underlying data problems and make their businesses more profitable so that they can serve their end customers more efficiently and get better ROIs. we as a team spend a good amount time to understand our client’s business that sits across different verticals such as sales, marketing, financial services etc. It really helps us to understand what business logic we need to apply to the ingested data so that we can extract the best value out of ML & AI models and add this value back to our client’s business. So, our clients come from different business domains and have a broad range of data challenges and to overcome those challenges, we develop bespoke solutions, the solutions that have been tailored to client’s requirements.