I transform business challenges into scalable digital solutions that strengthen decision-making and operational efficiency. My work blends financial expertise with automation, analytics, and modern cloud architecture.
- Programming languages:
- Libraries;
- Data Engineering tools:
- BigData:
- BI Analyst;
- IDE & version control;
- Cloud technologies;
Clevercloud
| N° | Language | Role | Deployment | Project | Client | Link |
|---|---|---|---|---|---|---|
| 1. | Python | Data Engineer | AWS | APP | NYC2050 ( In Process) | Link |
| 2. | Python | Machine Engineer | Streamlit | Fintech Fraud Transactions | No Country | Link |
| 3. | Python | Machine Engineer | FastApi | API | Steam Games | Link |
| 4. | Python | Data Analyst | CleverCloud - Streamlit | Dashboard | Gobierno de la Ciudad BA | Link |
| 5. | Python | Data Analyst | PowerBI | Sales Dashboard | Wallmart - Retail | Link |
| 6. | Python | Data Analyst | Streamlit | Dashboard | Johnson & Johnson | Link |
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Discovery & Digitalization: Identifying needs, defining goals, and shaping the right digital strategy.
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Data Product Development: Designing, building, and deploying reliable data products in the cloud.
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Operations & Continuous Improvement: Ensuring scalability, stability, and continuous optimization.
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Cloud Architecture: End-to-end data pipelines, cloud integrations, and automated ecosystems (AWS, Snowflake).
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Financial & Sales Reporting: Power BI dashboards and automated macro reports for each business area.
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Accounting Applications: Tools and apps that support accounting processes and financial operations.
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Automation & RPA: Reporting apps, distribution flows, and workflow automation that reduce manual effort.
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NLP for Communication Enhancement: Implemented ChatGPT models at Siemens to enhance interaction and communication within information systems.
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Migration to Snowflake: Automated balance sheet consolidation and reporting in Big Data environments.
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Regional KPI Development: Implemented finance reports for Siemens in Latin America, including sales and logistics analysis.
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Data Science Teaching and Mentorship: Created curricula at ICARO and MIT for diploma programs in Machine Learning, Python, and time series analysis.
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Automation with Python and Power BI: Implemented SAP robots and Power Automate workflows for account statements and automated email deliveries.
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Programming Languages: Python, SQL, DAX
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BI and Data Warehousing Tools: Power BI, Snowflake, dbt, Mendix
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Machine Learning: Predictive models, regression, classification, anomaly detection
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NLP and Chatbot Development: ChatGPT models, Siemens-specific NLP solutions
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Automation and Orchestration: Power Automate, IPy, GitLab
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Documentation and Presentation: Financial reports, English presentations, process documentation in schematics.
Always looking for opportunities to innovate, enhance performance, and create value through data science.
Feel free to contact me if you want to discuss exciting projects or collaborate on data initiatives!
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