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Miguel SierraMS
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Miguel Sierra

@miguelsierra

Data and AI professional with experience building Python pipelines, BI solutions, and automations that improve business decisions.

Colombia
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What I'm looking for

I'm looking to join an international team where I can use data to drive decisions, automate processes, and create measurable business impact through BI, Python, and practical AI.

I am a Data and AI professional focused on building reliable data pipelines, business intelligence solutions, and practical automations.

At Quantum Developers, I designed Python workflows and migrated automation processes into modular pipelines using Prefect and Docker, with validation, logging, testing, and documented failure handling.

At NielsenIQ, I used Python and SQL to map data across multiple datalakes, support data-quality initiatives, detect anomalies, and validate AI and chatbot outputs using semantic similarity, classification, and business rules.

Previously, at Wink Events, I built dashboards and analytical workflows with Looker, Excel, and Python. My automation work reduced recurring workflow time by 30–40%, while financial process improvements contributed to a documented 15% reduction in operating costs.

I am especially interested in Data Engineering, Business Intelligence, Analytics Engineering, Applied AI, and MLOps. I enjoy translating ambiguous business problems into measurable requirements, dependable data products, and actionable insights.

Experience

Work history, roles, and key accomplishments

QD

Automation Lead

Quantum Developers

Jan 2026 - Jun 2026 (5 months)

• 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

NielsenIQ logoNI

Data Analyst

Oct 2024 - Dec 2025 (1 year 2 months)

• 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.

WE

Technology and Automation Analyst

WINK EVENTOS

Sep 2022 - Oct 2024 (2 years 1 month)

• 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.

WE

Assistant Financial Analyst

WINK EVENTOS

Sep 2021 - Sep 2022 (1 year)

• 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

NV

NVIDIA

Fundamentals of Deep Learning

Issued Jan 2025

NV

NVIDIA

Building Transformer-Based Natural Language Processing Applications

Issued Jan 2025

Escuela de Ingeniería de Antioquia logoEA

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.

NV

NVIDIA

Building LLM Applications With Prompt Engineering

Issued Jan 2025

Rennes School of Business logoRB

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 logoEA

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.

Tech stack

Software and tools used professionally

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