Portfolio

Research Projects - Work in Progress

• Multiproduct Pricing Optimization using machine learning and econometric modelling, (2020). With Daniel Gottlieb (2020) Master en Ingeniería Industrial e Investigación de Operaciones.
• Detection of supermarket shopping motivations using a Latent Dirichlet Allocation approach. With Isabella Nicovani, Master en Ciencias de Ingeniería. (2021).
• A Support Vector approach to generate informative constraints for Price Optimization (2021). With Ignacio Sanchez, Master en Ingeniería Industrial e Investigación de Operaciones.
• Explaining passenger satisfaction in public transportation using machine learning models based on operative and mobile application data (2021). With Reinel Ruiz, Daniela Aracena, Masters en Data Science, Wilfredo Yushimito y Rolando de la Cruz.
• Using processing uncertainty for robust scheduling. An application of prescritive analytics for astronomy image processing in ALMA (2021). With Gianfranco Speroni, Rodrigo Carrasco, Ricardo Seguel. Best Presentation Award in Chilean Conference Operational Research Optima 2021.
• Prescriptive analytics and process mining. An application for improving boardbord production in CMPC (2022). With Camila Cartes, Master en Ingeniería Industrial e Investigación de Operaciones, and Rolando de la Cruz.
• A prescriptive analytics approach to optimize out of stock audit using LSTM (2022). With Cristián Aussin, Master en Ingeniería Industrial e Investigación de Operaciones.
• Predicting next purchase motivation using an hierarquical supervised LDA approach (2022). With Vicente Riquelme, Master en Ingeniería Industrial e Investigación de Operaciones, Richard Weber and Jochen De Weerdt.
• Comparing machine learning an HBM for demand estimation and price optimization (2022). With Francisca Ibañez, Master en Ciencias de Ingeniería and Florencia Darrigrandi.
• When, Who and How much? Defining promotion parameters for frequent product purchase for Lipigas (2022). With Antonia Inda, Master en Ingeniería Industrial e Investigación de Operaciones y Wilfredo Yushimito.
• Using machine learning methods to improve feasability for Vehicle routing problem instances for Simpliroute (2022). With Rodrigo Morán, Master en Ingeniería Industrial e Investigación de Operaciones y Felipe Lagos.

Professional Projects

• CRM for Consorcio Corredores de Bolsa
• Enrollment optimization for UNAB (Revenue management, and scholarships administration, enrollment scoring, scholarships simulations)
• SQM processes optimization for quality improvement of potassium nitrate.
• Strategy and analytical pricing models for ALVI Mayorista.
• Contract optimization using electricty consumption data for Chilectra/ENEL.
• Predictive maintenance of mining trucks, Gardilcic.
• Fraud detection in SII.
• Churn prediction and promotion management for Unimarc.
• Customer intelligence and analytical trade marketing for Zorro, México
• Customer clustering and offer design for important customers for Chilectra.
• Predicting risk in electric and gas installation for SEC
• Insurance customer churn prediction for Consorcio.
• Shipment prioritization for LTS (Walmart).
• Compensation and incentive design for salesmen workforce, Paris Cencosud.
• Customer clustering and promotion management, Paris and Easy
• Pricing and recommendations for category management for Supermercados Alvi
• User behavior analysis for AFT, Administrador Financiero Transantiago.
• Customer churn prediction for BancoEstado.
• Loyalty metric index for Yahoo, with DMX Group working with Dr. Usama Fayyad.
• Advisor, Inter-American Development Bank IADB, Fraud Detection for Aduanas, SUNAT. Perú.
• Demand Forecasting for DCX with DMX Group working with Dr. Usama Fayyad.