Ghent, Flemish Region, Belgium
Developing AI algorithms to improve Procter & Gamble's manufacturing processes.
Use Data Science to help Procter and Gamble's global Hair Care business units to make better decisions: - Developed and deployed a manufacturing capacity algorithm to optimize tactical production capacity targets - Developed a valuation algorithm to optimize portfolio complexity using production and transportation data - Use of Data Analytics to answer most pertinent Supply Chain related questions of top-management on topics such as: raw materials and finished product inventory, production scheduling, transportation and portfolio complexity
Used Data Analytics, algorithmic development and OR to improve Procter and Gamble's Hair Care businesses Supply Chain Resilience and resilience decision making End-to-End across the Supply Chain and across all continents: - Algorithmically modelling reduced lead times on the North-American, Latin-American and Asian market to assess inventory and performance results. - Algorithmically modelling inventory for optimal distribution on North-American market - Develop a global strategic and algorithm based risk assessment and identification solution combining internal and external data - Use of Data Analytics to answer most pertinent Supply Chain related questions of top-management on topics such as: raw materials and finished product inventory, production scheduling, transportation and portfolio complexity
I am an automotive engineer with a broad basis as industrial engineer – electromechanics , currently working at TMC as Employeneur. Here it is my goal to develop myself further and to apply my skillset in order to benefit all involved parties.
Working as employeneur at Tremec to support the current projects in their development team as development engineer.