David Buchner

Background

About David Buchner

Responsible for strategic projects using Machine Learning and Statistics Algorithms to improve changes in unemployment rates Machine Learning Algorithms Design- Applied clustering to create a performance comparison system for local agencies (geographical economical and social unsupervised clustering)- Applied Supervised Models (Neural Net, Random Forest) to identify job seekers' risk of unemployment. Provided strategic performance measurement to the French government and the agency's management - Time-series models based on relevant metrics (GPD and other economic and external features) assessing performance against past reference efficiencies (all other factors being equal)-The agency's main indicator (showing return-to-work each month) designed and built with the agency's big Dataset, provided the best metrics for assessing the agency performance - Responsible for statistics in main surveys: Mobility Aids, Return-to-Work and Labor Needs Survey Sampled, adjusted and evaluated surveys with statistical methods to obtain accurate representation of investigated population Drafted and published survey results -Studies on specific populations of unemployed according to the requests of the agency and the government Data mining on huge databases and Data Visualization with Multivariate Data analyzes