Diego Garrido is a Senior Data Scientist at Cencosud S.A., one of the largest retail companies in Latin America, where he leverages his extensive expertise in statistics, operations research, and software development to drive data-driven decision-making across various retail operations. In his current role, Diego...
Diego Garrido is a Senior Data Scientist at Cencosud S.A., one of the largest retail companies in Latin America, where he leverages his extensive expertise in statistics, operations research, and software development to drive data-driven decision-making across various retail operations. In his current role, Diego is instrumental in developing, maintaining, and scaling robust data pipelines and solutions that enhance operational efficiency and customer experience. Utilizing cutting-edge technologies such as Azure Synapse, Databricks, and Python, he expertly manages the extraction of data from complex systems like SAP HANA and Teradata, seamlessly loading it into Azure Data Lake for further analysis.
One of Diego's key projects involves creating sophisticated inventory prioritization and substitution suggestion systems for supermarkets, which not only optimize stock levels but also improve customer satisfaction by ensuring product availability. His proficiency in machine learning engineering allows him to develop, deploy, and fine-tune predictive models that inform strategic decisions, thereby enhancing the overall performance of retail operations. Diego’s skill set is further complemented by his knowledge of ETL processes, TensorFlow, and cloud platforms such as Google Cloud Platform (GCP), which he utilizes to streamline data workflows and enhance analytical capabilities.
With a strong foundation in data engineering and a passion for problem-solving, Diego is committed to harnessing the power of data to drive innovation and efficiency within the retail sector. His ability to collaborate across teams and communicate complex data insights effectively positions him as a valuable asset to Cencosud S.A. and the broader data science community.
