Leonardo Simoes

Data Scientist Azure - Python - Power Bi - Sql - Ai - Pandas at Baldan Implementos Agrícolas

Based in Araraquara, Brazil

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Seniority

Other

Department

Other

Location

Araraquara

Industry

Machinery Manufacturing

Company size

1K

Contact information

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Email

1 credit

l•••••••@baldan.com.br

Phone

5 credits

+55 ••• •••• ••••

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Background

About Leonardo Simoes

Senior Data Scientist with a background in Electrical Engineering and strong experience in industrial analytics, process automation, machine learning, business intelligence, data warehousing, and data-driven decision-making.I specialize in transforming operational and business data into reliable dashboards, automated workflows, predictive models, and executive decision-support systems. My work combines Python, SQL, Power BI, Azure, SAP, ETL processes, machine learning, and data pipelines to improve efficiency, data quality, forecasting, and strategic visibility.Currently, I lead Data Science, BI, and Data Engineering initiatives focused on building a stronger data-driven culture. Between 2025 and June 2026, my team delivered 38 data, BI, automation, and cost-reduction initiatives, generating over R$3.3M in annualized gross gains and R$3.1M in annualized net savings after development costs, with an estimated ROI of 18.2x.At Baldan, I have led initiatives such as Data Warehouse development, executive Power BI dashboards, HR analytics, sales analytics, supply chain reporting, cost center segmentation, purchasing automation, CRM analytics, cloud cost optimization, and operational efficiency projects.Previously, at Embraer and other industrial companies, I developed automation scripts, ETL pipelines, machine learning models, and reporting solutions that reduced manual work, improved forecast accuracy, accelerated access to critical information, and supported operational optimization.Core skills: Python, SQL, Power BI, Azure, Machine Learning, Data Warehousing, ETL, Business Intelligence, Process Automation, SAP, Industrial Analytics, Project Management, and Data-Driven Decision-Making.

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