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Kevin Hoyos

Available to hire

nnI design and implement data-driven solutions that accelerate business outcomes and improve compliance.

About

I’m Kevin Hoyos, a Python Developer and Data Mining & Automation Specialist based in Medellín, Colombia.\n\nI design and implement data-driven solutions that accelerate business outcomes and improve compliance. I enjoy building robust ETL pipelines, NLP models, AI-powered automations, and scalable web scraping workflows to deliver actionable insights.

  • 3 years' experience
  • Joined April 2026

Languages

  • Spanish; CastilianFluent
  • EnglishIntermediate

Industry experience

  • Software & Internet
  • Professional Services
  • Media & Entertainment

Work experience

Python Developer · PersonalSoft (Nequip provider)Oct 2024 – Mar 2026 · 1 yr 6 mos

Developed data mining and automation projects using Python. Implemented ETL processes for large-scale data extraction, transformation, and analysis. Built NLP and Transformer models to analyze sentiment and behavioral patterns. Created AI-powered automations with Copilot and frameworks to optimize internal processes. Integrated structured and unstructured data, delivering actionable insights for the Compliance department. Web Scraping & Web Crawling for extraction and processing large volumes of data.

Python Developer · Savant BPOOct 2022 – Mar 2024 · 1 yr 6 mos

Developed RPA and process automation solutions using Python. Built web scraping bots for accurate and efficient data extraction. Achieved a 90% reduction in operational time through intelligent automation. Collaborated with analytics and technology teams to streamline internal workflows.

Technical Assistant · HubtekNov 2019 – May 2020 · 7 mos

Provided preventive maintenance for computer equipment. Supported the development of internal information blogs using SharePoint. Utilized office tools and assisted with basic task automation.

Certifications and awards· 6

Programming Fundamentals2023 – 2026
Python2023 – 2026
Data Analysis with Python2024 – 2026
Master in Web Scraping2024 – 2026

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