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piandas/README.md

Santiago Bustos Pianda

Industrial Engineer (Analytics) · Data Science & Automation
Specialties: Data Engineering · Data Science · Automation · Finance Medellín, Colombia
LinkedIn · Email · GitHub: piandas


🚀 Professional Summary

I am an Industrial Engineer with a focus on Analytics and over 2 years of experience in project management, data analytics, data science, process optimization, and automation. I have led initiatives at Bancolombia, Infondo, and Unión Seguros, delivering efficiency gains of up to 98% in processing times. Skilled in Python, SQL, Big Data pipelines, Airflow orchestration, and cloud platforms such as Azure and Databricks. Currently pursuing a Master’s in Analytics, Data Science & AI at the National University of Colombia.


💼 Professional Experience

Infondo Insurance Agency (Remote)

Technology Consultant, Process Automation
Medellín, Colombia · Jun 2024 – Jul 2025

  • Automated insured‑notification workflows, reducing lead times by 97% and improving communication accuracy.
  • Designed and deployed Big Data ingestion and validation pipelines, cutting processing durations by 98%.
  • Enhanced website features using PHP, JavaScript & HTML for a better user experience.
  • Implemented Apache Airflow DAGs and defined data products (tables, views, APIs) to strengthen data quality and traceability.

Unión Seguros Agency

Technology Consultant
Medellín, Colombia · Jun 2024 – May 2025

  • Automated policy report comparison and validation in Python, achieving 98% accuracy and faster runtimes.
  • Built a customer‑onboarding data management system with Python, SQL & web forms; migrated critical data to cloud storage and generated visual reports.

Bancolombia

Credit Risk Intern, Capital Markets
Medellín, Colombia · Dec 2023 – Jun 2024

  • Automated 14 key processes using Python & SQL, freeing up an FTE and standardizing workflows with comprehensive manuals.
  • Managed monthly reporting dashboards and financial indicators for accurate data insights.

Connempathy (Remote)

Post‑Sales Analyst & Data Support
California, USA · Oct 2021 – Feb 2023

  • Applied data analysis strategies to boost operational efficiency and customer satisfaction (conducted in English).

🎓 Education

  • MSc in Engineering – Analytics & Data Science (Research Track)
    National University of Colombia, Medellín · Jan 2025 – Present
  • BEng in Industrial Engineering (Analytics Emphasis)
    University of Antioquia, Medellín · Jul 2018 – Jun 2024

🏅 Honors & Awards

  • Full Scholarship for Master’s studies, National University of Colombia (2025–Present)
  • Zero Tuition awarded for multiple semesters of undergraduate studies at University of Antioquia due to academic excellence

📜 Certifications & Courses

  • Big Data, PySpark, Databricks & Airflow (DataCamp, Coursera, Udemy)
  • Docker Best Practices
  • Data Analysis with Power BI & Tableau
  • LLM Engineering: AI, Large Language Models & Agents
  • Decision Analytics for Business
  • Advanced SQL & Database Management
  • Machine Learning with Scikit‑Learn, TensorFlow & PyTorch
  • Git & Version Control
  • API Development & Consumption

🛠️ Technical Skills

  • Languages & Querying: Python · SQL · R
  • Big Data & Data Engineering: ETL/ELT · Data Lakes · PySpark · Hadoop · Databricks · Airflow
  • Automation & MLOps: Workflow orchestration · CI/CD · Docker · Kubernetes
  • Visualization: Power BI · Tableau · Matplotlib
  • Cloud Platforms: Azure · AWS
  • Web & Front‑End: JavaScript · HTML · CSS · PHP · React

📄 Thesis Project

Automated Data Normalization Framework with AI (In development)

  • Orchestrated via Apache Airflow and Docker
  • Focus on semantic schema matching, anomaly detection, and embedding‑based clustering
  • Currently in development in collaboration with the GIDIA research group and several PhD researchers in Engineering

📄 My CV

📫 Contact & Links


⭐️ Feel free to explore my repositories and reach out for collaboration!

Pinned Loading

  1. Analisis-Retiros-Empleados-Estrategias-Retencion Analisis-Retiros-Empleados-Estrategias-Retencion Public

    Forked from andresquinttero/RH_grupo4

    Análisis de la tasa de retiros de empleados en una empresa con 4000 empleados, junto con estrategias propuestas para reducir esta tasa. Se utilizan datos de encuestas de satisfacción laboral, infor…

    Python

  2. nequi-transaction-splitting-detector nequi-transaction-splitting-detector Public

    Este proyecto aborda la detección de Mala Práctica Transaccional enfocada en el Fraccionamiento Transaccional: identificar usuarios que dividen grandes montos en múltiples transacciones pequeñas en…

    Jupyter Notebook

  3. web-insurance-automation web-insurance-automation Public

    Python

  4. franbz1/hotel-san-miguel franbz1/hotel-san-miguel Public

    TypeScript 1