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María SotoMS
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María Soto

@marasoto

Software engineer at GE Aerospace who automated supplier data analysis, eliminating 1,500+ manual hours annually.

Mexico
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At GE Aerospace, I designed and built a data integration pipeline using Dataiku, Apache Spark, and TIBCO Spotfire to consolidate historical supplier quotation data. I also automated extraction, cleaning, and cross-referencing of supplier and product information, eliminating 1,500+ hours of manual analysis annually.

In my projects, I’m building a price-monitoring tool and a machine learning-based cattle assessment tool. I’ve also developed computer vision and forecasting models, including an early cattle health assessment system that analyzed 57,870+ images with 91.84% detection accuracy.

Experience

Work history, roles, and key accomplishments

GE Aerospace logoGA

Variable Cost Productivity Intern

Jun 2024 - Jul 2025 (1 year 1 month)

Designed and built a data integration pipeline using Dataiku, Apache Spark, and TIBCO Spotfire, consolidating historical supplier quotation data from multiple databases. Automated extraction, cleaning, and cross-referencing of fragmented supplier and product data, eliminating 1,500+ hours of manual analysis annually.

Education

Degrees, certifications, and relevant coursework

Instituto Tecnológico de Estudios Superiores de Monterrey logoIM

Instituto Tecnológico de Estudios Superiores de Monterrey

Bachelor of Science, Computer Science and Technology

2022 - 2026

Grade: 89.4/100 (3.6/4.0)

Activities and societies: Engineering Award for outstanding student projects, Summer/Fall 2025 semesters. International Aerospace Program (IASP), Huntsville, Alabama (Nov 2023): selected for an international program; collaborated with NASA engineers on team-based engineering challenges and problem-solving.

Pursuing a B.S. in Computer Science and Technology with a concentration in Advanced AI for Data Science. Achieved a GPA of 89.4/100 and received an Engineering Award for outstanding student projects.

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