Improved supply chain management based on hybrid demand forecasts
Aburto, L., & Weber, R. (2007). "Improved supply chain management based on hybrid demand forecasts." Applied Soft Computing. 7(1), 136-144.
CV
Education
- Ph.D in Engineering System, Universidad de Chile, 2019
- M.S. in Operations Management, Universidad de Chile, 2002
- Industrial Engineer, Universidad de Chile, 2002
Work experience
- 2020: Assistant Professor
- Universidad Adolfo Ibañez
- Duties included: Teaching, research.
- 2019: Research Internship Secondment
- NeEDS Project (Network of European Data Scientist)
- Katholieke Universiteit Leuven
- Duties included: research internship
- 2015-2018: Research Assistant
- ISCI (Instituto Sistemas Complejos de Ingeniería)
- Duties included: Project engineer and data scientist
- 2002-2015: Operational Eficiency Manager
- Penta Analytics
- Duties included: Lead and execute data science projects
Skills
- Optimization (MIP, NLP)
- Predictive Modeling
- Deep Learning Keras / Tensorflow
- Caret / MLR
- Prescriptive Analytics
- Experience coding with R, Python, Julia, Matlab, Gurobi, Cplex.
Publications
Market basket analysis insights to support category management
Musalem, A., Aburto, L., & Bosch, M. (2018). "Market basket analysis insights to support category management." European Journal of Marketing . Vol. 52 No. 7/8, pp. 1550-1573.
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Teaching
Awards
- Best Professor Executive Programs, Industrial Engineering Department, Universidad de Chile. 2013,2015,2016,2017.
- National Doctorate Grant by Conicyt Chile, 2015.
- Best Part time Professor. Industrial Engineering Department, Universidad de Chile, 2009.
- Outstanding student award. FCFM, Universidad de Chile, 1997, 1998, 2000, 2001.