- Data analyst in the Artificial Intelligence Classification team. - Leveraging ETL models and SQL scripts to cleanup, normalize, classify, and visualize raw spend data from multiple ERPs to help clients gain visibility on how they are spending their money.- Lead the implementation of AIC for several clients, while maintaining regular communication with them to identify and apply enhancement opportunities. This involved project management responsibilities including the creation of project plans, conducting status updates, and proactively following up on open items to ensure completion of tasks.- Developing and maintaining visualizations that enable clients to identify opportunities within their procurement strategy.

- Lead the project built during my period as RappiMaker.- Maintained and managed an automatic alerting system that notified in real time to different stakeholders of the company about errors affecting the stores sales and that allowed them to act quickly and fix the problem.- Built a dashboard that allowed the account owners to keep track of the most recurrent errors affecting their stores and the impact these errors were having in the gross merchandise value and overall performance of the store.- Support the Systematic Improvement team in the construction of queries to massively identify and correct store configuration errors.- Assist the Conversions team in analyzing and understanding declines in conversion rates for key accounts.- Saved more than 100K USD in gross merchandise value thanks to the alerts and fast action of stakeholders in solving the issues identified by the alerts.- Developed project management skills to achieve the alignment between tech, sales, and business areas to create impactful alerts.

- Support to several areas of the vertical in the creation of queries and dashboards useful for decision making.- Development of queries and visualizations to enable the commercial teams to identify top-performing stores for advancement to the commercial stage.- Support the Systematic Improvement team in the construction of queries to massively identify and correct store configuration errors.- Structure an automated system of alerts based on SQL, Airflow, and Jira, with the objective to allow account managers to identify and solve configuration errors that were impacting the performance of the store.