Data Scientist with a background in Computer Engineering from MIT and Harvard, specializing in Machine Learning applied to optimize supply chain and sales performance. With over 8 years of experience, I combine critical analysis, KPI evaluation, and process automation to transform data into high-impact strategies and decisions at Siemens.

Passionate about data analysis for developing predictive models, extracting actionable insights, and leveraging Natural Language Processing (NLP) models like ChatGPT to enhance communication and interaction within information systems. I work with Python, SQL, Power BI, and Snowflake to build solutions that improve efficiency and business performance in finance, sales, and logistics sectors. My role extends to teaching data science and machine learning, with experience at Harvard, MIT, and ICARO, where I cover topics like statistical modeling, data processing, and ML applications in time series.

My approach to KPI evaluation is comprehensive and strategic. I design and monitor metrics that guide current performance and project future success, using advanced tools to identify improvement opportunities in P&L reports, profit margins, and order analysis. My reports for Latin America and collaboration with teams in Germany ensure that decisions are based on solid, relevant data.

I automate complex processes, from data cleaning and preparation to report generation and visualization. I have developed Python applications and Power Automate flows that streamline repetitive tasks, ensuring consistency and reducing errors. Additionally, I orchestrate data pipelines in dbt and GitLab, connected to Snowflake, to guarantee efficient and scalable data analytics workflows.

• NLP for Communication Enhancement: Implemented ChatGPT models at Siemens to enhance interaction and communication within information systems.
• Migration to Snowflake: Automated balance sheet consolidation and reporting in Big Data environments.
• Regional KPI Development: Implemented finance reports for Siemens in Latin America, including sales and logistics analysis.
• Data Science Teaching and Mentorship: Created curricula at ICARO and MIT for diploma programs in Machine Learning, Python, and time series analysis.
• Automation with Python and Power BI: Implemented SAP robots and Power Automate workflows for account statements and automated email deliveries.

• Programming Languages: Python, SQL, DAX
• BI and Data Warehousing Tools: Power BI, Snowflake, dbt, Mendix
• Machine Learning: Predictive models, regression, classification, anomaly detection
• NLP and Chatbot Development: ChatGPT models, Siemens-specific NLP solutions
• Automation and Orchestration: Power Automate, IPy, GitLab
• 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.

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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• [email protected]

• Programming languages:
• Libraries;
• Data Engineering tools:
• BigData:
• BI Analyst;
• IDE & version control;
• Cloud technologies; Clevercloud