MVP for enhancing perimeter security for commercial buildings Client approached us to build a complete MVP to save cost through our offshore delivery centre We proposed a “build-operate-transfer’ model and dedicated a team of data scientists and engineers Data collection environments were stated to address the needs of the MVP Researched various deep learning neural…
Analyse future oil contracts (WTI) based on a trading philosophy A group of non-tech savvy high frequency traders using proprietary trading models based on spread and butterflies Collected historical trading data and built statistical models based on trading philosophies Solution involved deploying an automated self-service model for daily analysis Cost saving for client by avoiding…
Demand Forecasting Model for an air conditioner manufacturer Client approached us to build a demand forecasting model and provided us with sales data for three years Preliminary analysis of the data uncovered supply chain anomalies with their master distributor in the US Quantified the possible loss due to supply chain anomalies Discovery Quantified monitory loss…
Need for a data warehouse A leading CO2 manufacturer/supplier approach us to build a data – warehouse solution for supporting their decision making process for logistical cost optimisation In-depth study of business processes, various MIS systems to understand client’s business and true needs The solution was a combination of management consulting, data warehousing, data analytics…
Telemedicine solutions for prioritising X-Rays to be processed by Radiologists Client requested an X-Ray detection system to replace Radiologists Cost of such system was prohibitive and accuracy was a concern due to non-availability of training data Analysing the socio-economic and environmental factors, an X-Ray prioritisation system was recommended in place of a complete replacement of…
Client engaged Whirldata to explore innovative and cost effective options for technology spend Client had a mandate to reduce human involvement in a garbage sorting line. Attempted expensive solutions through Computer Vision and Hyoerspectral imaging before coming to us Deep learning neural networks were investigated and a cost effective solution was formulated after identifying appropriate…