* In charge of a cross-regional data science team for developing Machine Learning models for intelligent price decision making for hardline and softline products* Led partnership with research centers of top world-class university, focusing on price assignment and stock/inventory optimization problems* Designed and measured AB tests using causal inference techniques and improved treatment-control matching procedures using Synthetic Control Methodology* Installed web scrapping… Show more * In charge of a cross-regional data science team for developing Machine Learning models for intelligent price decision making for hardline and softline products* Led partnership with research centers of top world-class university, focusing on price assignment and stock/inventory optimization problems* Designed and measured AB tests using causal inference techniques and improved treatment-control matching procedures using Synthetic Control Methodology* Installed web scrapping processes using Python for obtaining relevant information to store at Data Warehouse for business applications* Migrated on-premise processes to a Google Cloud environment, installing ETL processes, procedures in Google BigQuery, and ML applications in Vertex AI* Leveraged Large Language Models supporting Help Desk prioritization according to different micro-services within IT systems* Supported commercial decision making through Business Intelligence analysis involving demand cannibalization, promotion pricing, stock assignment, commercial experiments* Technical presentations to C-level executives, focusing on business results and insights Show less

* Co-developed an end-to-end ML project with a top world-class university for installing a dynamic intelligent price system, developing ETLs and data pipelines, ML model training and validation, optimization model formulation and coding, stakeholders expectations management, AB testing and results measurement* Developed different ML applications supporting: Inventory processes, Exhibition decisions at retail stores, Sales forecasting during COVID pandemic, Weather impact in sales*… Show more * Co-developed an end-to-end ML project with a top world-class university for installing a dynamic intelligent price system, developing ETLs and data pipelines, ML model training and validation, optimization model formulation and coding, stakeholders expectations management, AB testing and results measurement* Developed different ML applications supporting: Inventory processes, Exhibition decisions at retail stores, Sales forecasting during COVID pandemic, Weather impact in sales* Supported ecological initiative for improving last-mile deliveries along with top world-class university doing research on solving Vehicle Routing Problem minimizing both distance and CO2 emissions* Designed data architecture for databases supporting ML applications and installed ETLs using SQL Server Integration Services on SQL environments* Developed BI Dashboards in Microsoft PowerBI for monitoring relevant business KPIs* Led conversations with stakeholders of many different departments, understanding customer requirements and translating technical results into business insights * Participated in Machine Learning Immersion program at Google Cloud campus on Sunnyvale, CA for Deep Learning training on Google Cloud Show less

* Deployed ML model related to making recommendations about where to locate a new retail store* Deployed automated generation of time series forecasts at different product classification levels using R, supporting assortment decisions* Supervised consulting teams helping us with ML models development* Designed SQL procedures for commercial analysis and data mining purposes

* Developed ML model for detecting optimal locations for opening new retail stores* Performed unsupervised methods for detecting clusters of regions with different sales behavior, improving stock assignment processes* Installed marked basket analysis in R for detecting groups of products that sell well together, improving exhibition decisions and website design* Supported growth of a beginner data science team, instilling usage of open-source tools and programming languages for data… Show more * Developed ML model for detecting optimal locations for opening new retail stores* Performed unsupervised methods for detecting clusters of regions with different sales behavior, improving stock assignment processes* Installed marked basket analysis in R for detecting groups of products that sell well together, improving exhibition decisions and website design* Supported growth of a beginner data science team, instilling usage of open-source tools and programming languages for data analytics such as R and Python Show less