I am a data and analytics professional with more than six years of experience supporting cross-functional eCommerce, marketplace, fraud prevention, and business intelligence teams.
I work across the end-to-end data lifecycle, including data exploration, modeling, transformation, extraction, and automated reporting. My primary technical stack includes SQL, Google BigQuery, Python, Tableau, Looker, Snowflake, dbt, and Airflow.
I build executive dashboards and analytics products that help stakeholders make better commercial and operational decisions. My experience includes profitability analytics, contribution-margin analysis, break-even ROAS, conversion reconciliation, fraud and risk metrics, and marketplace performance reporting.
I have worked with high-volume data environments and have built data jobs and pipelines using BigQuery, Teradata, ETL tools, and PL/SQL. I am also experienced in gathering requirements and translating business needs into data models and BI dashboards.
I currently work in eCommerce and analytics while implementing modern data stack practices. I am comfortable collaborating with technical and business stakeholders, working independently, and applying AI-driven automation to improve decision-making and reduce operational errors.
I sell pet and cleaning products through Shopify, Tiendanube, and Mercado Libre, using Mercado Pago and Pago Nube for payments.
I consolidate data from Meta, Google, and TikTok Ads, sales channels, and Mercado Pago into a unified model. I build real-time profitability dashboards for DTC brands in Latin America, supporting budget reallocation based on contribution margin, break-even ROAS, actual orders, and payments.
I built and maintained Tableau and Looker dashboards for marketplace metrics and wrote SQL jobs in Google BigQuery over high-volume marketplace datasets.
My work supported data and analytics stakeholders with reliable reporting and analytics for marketplace operations.
I joined the Fraud Prevention Metrics team at Mercado Pago, where I built extraction jobs and pipelines in Teradata and Google BigQuery.
I also built and monitored Tableau dashboards used for fraud and risk metrics, enabling teams to track key operational and analytical indicators.
I built Qlik Sense dashboards for corporate business intelligence and worked with business stakeholders to gather requirements and model data.
My work translated reporting needs into data models and dashboards for organizational decision-making.
I built QlikView and Qlik Sense applications for multiple enterprise clients.
I delivered business intelligence solutions focused on reporting, data visualization, and client analytics requirements.
I supported an SAP S/4HANA implementation and participated in data migration activities using ETL tools and PL/SQL.
My responsibilities involved application development support, data movement, and implementation-related technical work.
I worked as an Industrial Maintenance Service Planning Coordinator in a non-IT and non-data role.
The role provided operational planning experience within an industrial maintenance environment.
I worked as an Operations Intern in a non-IT and non-data role.
The internship provided experience supporting operational activities in an industrial business environment.
I worked as a Logistics Intern in a non-IT and non-data role.
The internship provided early professional exposure to logistics operations.
I ran student cohorts for a Tableau course, answered technical questions, and graded final data visualization projects.
I supported learners in developing Tableau and visualization skills throughout the course.
B.S., Industrial Management
Bachelor's degree in Industrial Management completed in Buenos Aires, Argentina.
Diploma, Business Intelligence
Diploma in Business Intelligence completed in Buenos Aires, Argentina.
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