Valentina Simão
@valentinasimo
Data analyst specializing in Python, SQL, and Tableau to drive predictive insights and automation.
What I'm looking for
I am an analytical and detail-oriented Data Analyst with hands-on experience extracting, preprocessing, and visualizing complex datasets to inform strategic decisions. I have built automated SQL reporting pipelines, integrated cross-system dashboards, and developed predictive models that improved planning accuracy and reduced operational risk.
At SIATT I managed data for over 14,000 electronic components, created Tableau dashboards combining Protheus and Chronos data, and reduced manual reporting workload by 60% while improving obsolescence planning by 30%. My co-op experience and teaching assistant roles sharpened my ability to communicate technical concepts and deliver measurable productivity gains.
I am passionate about transforming data into actionable insights, optimizing workflows through automation, and collaborating with cross-functional teams to solve high-impact problems. I bring strong technical skills in Python, SQL, Tableau, and Excel, plus multilingual communication in Portuguese, English, and Spanish.
Experience
Work history, roles, and key accomplishments
Data Analyst
Siatt Missile Company
Aug 2024 - May 2025 (9 months)
Extracted and analyzed data for 14,000+ electronic components to forecast obsolescence and built automated SQL reporting and Tableau dashboards, improving planning accuracy by 30% and reducing manual workload by 60%.
Supported over 5,000 students in engineering and data coursework and developed instructional materials to improve understanding of analytics tools and data-driven decision-making.
Industrial Engineering Co-Op
TECO
Jul 2022 - Nov 2022 (4 months)
Automated manual workflows and developed real-time KPI dashboards, increasing productivity by 20% and optimizing resource allocation to reduce costs.
Education
Degrees, certifications, and relevant coursework
University of South Florida
Bachelor of Science, Industrial Engineering
Grade: 3.2 GPA
Bachelor of Science in Industrial Engineering with coursework in databases, statistical quality control, and production control; capstone project on a solar-powered water generator applying resource optimization principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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