Responsible of developing and leading data science projects across various business units, including both upstream and downstream operations. To date, I have contributed to the following projects:-Demand forecasting for YPF Agro products with month/region/product granularity. These forecasts are generated using machine learning models that take into account not only commercial variables but also factors related to the agricultural sector such as climatic and macroeconomics… Show more Responsible of developing and leading data science projects across various business units, including both upstream and downstream operations. To date, I have contributed to the following projects:-Demand forecasting for YPF Agro products with month/region/product granularity. These forecasts are generated using machine learning models that take into account not only commercial variables but also factors related to the agricultural sector such as climatic and macroeconomics indexes.-Optimization of opening and closing times for declining gas wells to maximize production. This involves using optimization models and data analysis to determine the optimal sequence for valve operations.-Personalized discount campaigns within the YPF app enhanced through clustering studies and the use of machine learning models to calculate scorings. This strategy prioritizes discount expenditure by ensuring that promotions are targeted and cost-effective, thereby maximizing customer engagement and sales.-Prediction of parent-child interference for determining the pressure delta in horizontal wells employing predictive modeling to analyze interactions between wells. This model not only reduces the costs associated with unnecessarily securing wells but also ensures that wells in need of securing are accurately identified. Show less

Provided advanced analytics services to all Nestle markets and business units across LATAM. Participated as a Data Scientist in more than seven projects over the course of a year and a half, covering all stages: definition, scoping and execution. These projects included:    - Demand Estimation/Forecasting models: Sell in and sell out demand forecasting models at several granularity levels down to day/store/sku.    - Modern Trade recommendation engine: Machine learning algorithms to… Show more Provided advanced analytics services to all Nestle markets and business units across LATAM. Participated as a Data Scientist in more than seven projects over the course of a year and a half, covering all stages: definition, scoping and execution. These projects included:    - Demand Estimation/Forecasting models: Sell in and sell out demand forecasting models at several granularity levels down to day/store/sku.    - Modern Trade recommendation engine: Machine learning algorithms to detect granular store/sku opportunities at execution.     - Traditional Trade: Segmentation of stores and product recommendation based on consumption patterns.    - E-Commerce: Client segmentation and attrition model for e-commerce active consumers.    - Supply Chain: Demand prediction models to find out of stocks at day/store/sku level. Phantom inventory identification and distribution center optimization.    - Duplicated account identification: text-mining algorithms to find duplicates within a database based on free-text fields. Show less