Miguel Sierra
@miguelsierra
I build Python data pipelines and automations that turn business data into actionable decisions.
ColombiaWhat I'm looking for
I build Python data pipelines and AI/ML-integrated automations that make business workflows more reliable and scalable. At Quantum Developers, I migrated legacy RPA to Python and built modular pipelines with Prefect and Docker.
At NielsenIQ, I mapped data flows across multiple datalakes using Python and SQL, supported enterprise data-quality initiatives, and validated HR and Finance chatbot outcomes for accurate AI-driven insights.
At WINK EVENTOS, my Python automation reduced manual effort by 30–40%, while my financial process improvements cut operational costs by 15% and reduced inventory discrepancies by 25%. I'm focused on using data, BI, and practical AI to improve decisions and operations.
Experience
Work history, roles, and key accomplishments
• Designed and implemented data pipelines for AI/ML-integrated automations, migrating legacy RPA to Python.
• Built modular ML/data pipelines orchestrated with Prefect and Docker, aligned with MLOps practices for scalable automation workflows.
• Improved pipeline reliability and performance by refactoring flows into reusable components. And implemented error handling, structured logging and test
• Designed and analyzed company-wide data mapping frameworks across multiple datalakes using Python and SQL to track data flow and sources.
• Supported enterprise data quality initiatives by reviewing user feedback and identifying improvement opportunities.
• Verified and validated chatbot outcomes for HR and Finance, ensuring consistent and accurate AI-driven insights.
• Improved workflows by developing solutions using Python, Excel and BI tools to simplify processes and solve corporate challenges.
• Created and deployed Python scripts to automate repetitive tasks, reducing manual effort by 30–40%.
• Enhanced operational efficiency by cutting human errors and streamlining reporting through strategic data-driven automation.
• Managed menu costing and redesigned collection account setup, cutting operational costs by 15%.
• Implemented a new inventory tracking system to reduce recipe inventory discrepancies by 25%.
• Simplified the collection account process, improving the valuation workflow efficiency by 10%.
Education
Degrees, certifications, and relevant coursework
Escuela de Ingeniería de Antioquia
Specialization in Artificial Intelligence, Artificial Intelligence
2025 - 2025
Specialization focused on practical AI applications: Machine Learning, Deep Learning, heuristic and metaheuristic algorithms, NLP, uncertainty methods, and real-world use cases like chatbots and data analysis. Expected 2025.
NVIDIA
Fundamentals of Deep Learning
Issued Jan 2025
NVIDIA
Building LLM Applications With Prompt Engineering
Issued Jan 2025
NVIDIA
Building Transformer-Based Natural Language Processing Applications
Issued Jan 2025
Rennes School of Business
MSc Global Business Management
2023 - 2024
International MSc focused on global business management, market data analysis, project management, crisis management and marketing strategy. Developed strong skills in data analysis, business intelligence, business process improvement, and organizational behavior.
Escuela de Ingeniería de Antioquia
Bachelor of Financial Engineering, Finance
2018 - 2023
Bachelor’s in Financial Engineering with emphasis on corporate finance, risk management, portfolio theory and business intelligence. Applied advanced analytics, data visualization, Python, R, SQL and Excel for financial modeling and process improvement.
Availability
Location
ColombiaAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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