We strive to develop and deploy scalable data solutions driven by cutting edge cloud technologies. In doing so, we use best in class cloud-based services like AWS (Amazon Web Services), MS Azure, GCP (Google Cloud Platform) etc. for data ingestion, processing and transforming massive amount of structured or unstructured data into meaningful business insights. Putting to use, these cutting-edge technologies and programming languages like R, Python, Java, Scala, SQL, etc. enable us to offer value-driven services like data mining, wrangling, predictive modelling and real-time BI (Business Intelligence) dashboarding to our clients.

We also take pride in our expertise in IoT (Internet of Things) devices. By bridging the gap between artificial intelligence and embedded electronics, we have been developing prototypes for smart IoT devices such as Tidybox, Tidymatics and Tidycare.

At Tidyquant, we are a team of seasoned data scientists, engineers, digital marketers and business analysts who are highly passionate and committed to solve real-world business problems. Our team works across the entire end-to-end product development pipeline starting from gathering business requirements to ingesting the data locked away in silos, turning them into scalable coding engines, data analysis and producing world-class BI reports.