Transforming data into actionable insights for bussines operations
I'm a data scientist with 10+ years of experience at the intersection of industrial engineering and machine learning. I specialize in building data-driven solutions that deliver measurable business impact in manufacturing and supply chain operations.
What I do:
- Build predictive models for demand forecasting and process optimization
- Design and implement MLOps pipelines for real-time analytics
- Lead digital transformation initiatives using Lean Six Sigma + Data Science
- Develop interactive dashboards and BI solutions for operational excellence
Recent impact:
impact = {
'cost_savings': '+$250M COP',
'forecast_accuracy': '90%',
'response_time': '5x improvement',
'inventory_reduction': '25%'
}Languages & Core
ML & Data Science
BI & Visualization
DevOps & Tools
|
Complete system for demographic analysis and healthcare accessibility with interactive maps. Tech: Python · Pandas · Geospatial Analysis |
End-to-end MLOps pipeline for real-time fraud detection with automated monitoring. Tech: Python · ML · MLOps · Docker |
|
Complete data science workflow from EDA to model deployment and insights. Tech: Python · Jupyter · Statistical Analysis |
Advanced machine learning notebooks and practices (255MB+ content). Tech: Jupyter · Scikit-learn · Deep Learning |
currently_working_on = [
"🔬 Advanced ML models for industrial optimization",
"📊 MLOps pipelines and automation",
"🎯 Real-time analytics dashboards",
"🌱 Contributing to open-source data science projects"
]Certifications & Education:
- 🎓 ML Specialization - Universidad EAN (2025)
- 📈 Applied Statistics - Universidad Católica de Manizales (2023)
- 🏆 Lean Six Sigma Black Belt - Universidad EAFIT (2020)
- 🔧 Industrial Engineering - Universidad Nacional de Colombia
💼 Open to collaborations on industrial data science projects and process optimization
📫 Reach me at: ingenierogerman@outlook.com
🌍 Based in: Medellín, Colombia
"In day and night, data is in the path."
💙 Gracias por visitar mi perfil 💙
