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Tomas SelicaroTS
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Tomas Selicaro

@tomasselicaro

Data & Business Analyst specializing in data science, automation, and KPI dashboards for digital transformation.

Argentina
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What I'm looking for

I’m looking for data-driven, analytics-focused roles in international environments where I can deliver KPI dashboards, automate reporting, and improve traceability through process analysis and digital transformation.

I’m an Industrial Engineer with a Data Science specialization and hands-on experience in digital transformation projects. I combine advanced Python and SQL with Power BI and Power Automate to turn operations data into clear KPIs, automated reporting, and better traceability.

In my internship as a Data & Process Analyst at the Digital Transformation Center (Universidad Austral), I implemented and configured Zoho CRM to centralize internal project management and improve operational visibility. I also built Power BI dashboards to monitor strategic initiative performance and automated reporting and information flows to significantly reduce weekly manual tracking.

Beyond analytics, I bring a collaboration-first mindset from leadership and teaching roles. As a Student Representative, I coordinated academic planning, managed institutional communication, and led negotiation and conflict resolution—while tutoring 8 first-year students to strengthen technical progress and study methodology.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

SE

Santander X Explorer

Program, Entrepreneurship & Innovation

2026 - 2026

Activities and societies: Selected for the program based on scalability potential; project originated as a thesis.

Completed the Santander X Explorer Entrepreneurship & Innovation Program, developing and validating the Menulytics business model for an intelligent restaurant management SaaS.

Universidad Austral logoUA

Universidad Austral

Bachelor of Science, Industrial Engineering (Data Science track)

2021 - 2025

Activities and societies: Academic Merit Scholarship recipient.

Earned a B.Sc. in Industrial Engineering with a Data Science track and received an Academic Merit Scholarship.

Tech stack

Software and tools used professionally

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