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@mateopinedagiraldo
Industrial engineer and data analyst specializing in predictive modeling and process optimization.
I'm an Industrial Engineer and data analyst with experience in data analysis, process automation, and business intelligence. I build predictive models, segmentation, and time-series forecasts using Python and R, and I translate results into dashboards for strategic decisions.
I've completed internships focused on merchandising analysis, inventory optimization and time-and-motion studies, applying POQ inventory methods and CAD-driven efficiency projects. I communicate model outcomes clearly to stakeholders and work effectively in cross-functional teams.
I'm proactive, results-oriented, and TOEFL-certified in English, with multiple data certifications such as Google Data Analytics and Machine Learning. I'm eager to contribute to organizations that value data-driven decision-making and continuous improvement.
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Work history, roles, and key accomplishments
Manisol SAS
Jun 2024 - Jun 2025 (1 year)
Conducted merchandising trend analysis and inventory planning to optimize sales strategy and improve process efficiency during a one-year internship.
Normandy
Aug 2023 - Dec 2023 (4 months)
Optimized inventory and dispatch processes using the POQ methodology to improve stock management and dispatch efficiency.
Tajaditas del Campo
Aug 2022 - Dec 2022 (4 months)
Performed a time-and-motion study and implemented CAD-based workspace redesigns to optimize workplace efficiency.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Industrial Engineering
2019 - 2025
Activities and societies: Internships and academic projects including time-and-motion and CAD workplace optimization, inventory and dispatch optimization using POQ, and merchandising analysis.
Undergraduate Industrial Engineering program at Universidad Nacional de Colombia, Sede Manizales covering data analysis, process automation, and business intelligence. Expected degree completion June 2025.
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