January 21, 2022
Introduction The client is an OKR (Objective and Key Results) software startup that improves employee engagement and project success by aligning people, strategy, and results. The company was looking to re-architect their data platform to meet the requirements of a new segment of large enterprise customers. The client planned to expand their platform capabilities to compete with other vendors offering continuous performance management. Their technical […]
February 11, 2020
The Challenge A Private Equity firm needed to predict quarterly pharmaceutical revenue for the next quarter in terms of doctors and pharmacies. The problem here is that the data contains a lot of seasonality because some doctors are not regular in their services, the same happens at the pharmacy level. The challenge is to create a robust model to overcome these gaps in the information. […]
February 10, 2020
PHASE 1: Data Transformation The Challenge A leading Private Equity and Venture Capital firm, with over $30B under management, requested an end-to-end data audit of their deal platform. They were looking to evolve the platform to make a scalable and unified sourcing tool with consistent architecture and infrastructure. They wanted an independent third-party to assess the technical decisions made to date in the development. The […]
May 4, 2018
The Problem PingThings was a startup looking to build a real-time platform to leverage machine-learning for physical systems on the electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. They wanted an analytics platform to track sensor data, focusing on storing and manipulating time-series data and modeling complex relationships between synchrophasors’ high-resolution signals. Sector Energy Vertical Analytics Model LightGBM/XGBoost Case […]
April 9, 2018
Sales Optimization in Private Equity Phase 4: Improve Portfolio Company Performance The Challenge A leading Private Equity and Venture Capital firm, with over $20B under management, requested an end-to-end data audit of their deal platform. They were looking to evolve the platform to make a scalable and unified sourcing tool with consistent architecture and infrastructure. They wanted an independent third-party to assess the technical decisions […]
September 20, 2016
The Problem Uiba offers Machine Learning for Organizational Management to medium and large-sized organizations. This platform enables their clients to hire, allocate, and develop their workforce in a manner designed to maximize productivity, minimize cost, and achieve optimal efficiency. Blue Orange developed and designed the first version of its platform. Sector Tech Vertical Talent Analytics Model SVM/Random Forest Case Study Uiba required a Machine Learning […]