December 27, 2019

Removing Bias from Hiring with Natural Language Processing

THE CHALLENGE Resumes are inconsistent. Even the best OCR parsing leaves you with lots of messy and unstructured data. Then, as a candidate moves through the application process, humans get involved. Add to the data set free form text reviews of the applicant and both linguistic and personal biases. In addition, each data source is siloed providing limited analytical opportunity. SERVICES Machine Learning NLP People […]
December 27, 2019

Next Generation Record Linkage

THE CHALLENGE At the start of every data project, there are numerous separate data sources that alone offer limited analytical value but when combined and then enriched with public/third party data become very powerful resources for our data scientists. More data is available every day that businesses require to have a full picture when making business decisions. Joining this data together leads to a fundamental […]
May 4, 2018
Advanced Sensor Analytics Platform

Advanced Sensor Analytics Platform

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 Efficiency

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 […]
December 12, 2017
Gamer Acquisition and Value

Gamer Acquisition and Lifetime Value

The Challenge: In marketing and sales, new ways to reach out to customers and prospects come out every year. It’s exciting and frustrating at the same time. With limited resources, how do you make strategic choices about which marketing methods, media, and technologies to use? You can guess and hope for the best. Or you can adopt a data-driven methodology. Extermax, a game company, wanted […]
September 20, 2016
Machine Learning Hiring Platform

Machine Learning Hiring Platform

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 […]