I am a senior analytics professional with more than 14 years of corporate experience at Accenture, where I have focused on business intelligence, data analytics, pricing analytics, reporting automation, and stakeholder-facing insights.
I build analytical workflows, dashboards, executive reports, and decision-support outputs using Power BI, SQL, Python, R, Excel, Power Query, and DAX. I am comfortable translating business requirements into clear metrics, visualizations, and structured reporting that leadership teams can use.
My background combines economics and quantitative analysis. I hold a Bachelorโs Degree in Economics from Universidad Argentina de la Empresa and I am currently pursuing a Masterโs Degree in Econometrics at Universidad Torcuato Di Tella.
In my work at Accenture, I support pricing, commercial, and operational analytics across complex enterprise environments. I also automate recurring reporting processes, improve data quality through validation and reconciliation, and help standardize analytical workflows.
I have experience building business-facing Power BI dashboards, executive reports, deal trackers, and snapshot analytics solutions. My work often involves data cleaning, transformation, deduplication, and the creation of reliable reporting logic for business stakeholders.
I also built EconMind, an AI and data-driven economic analytics product focused on macroeconomic indicators, inflation, exchange rates, and public data. This project reflects my interest in combining analytics, economics, and product thinking to create useful decision-oriented insights.
I am best suited for senior analytics, BI, and business analytics roles where technical execution, business understanding, dashboarding, automation, and clear communication are needed to improve decision-making at scale.
Focus areas include econometrics, statistical modeling, time series, forecasting, causal inference, computational economics, and applied quantitative analysis.
Undergraduate degree in economics.
Support business stakeholders through analytics, reporting, dashboards, pricing insights, and data-driven decision support. Design and maintain dashboards and reports using Power BI, Excel, Power Query, DAX, SQL, Python, and R. Translate business requirements into metrics, visualizations, and executive-ready insights. Support pricing, commercial, and operational analytics, automate recurring workflows, perform data cleaning and validation, and communicate findings to stakeholders and leadership.
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