Natalia Velilla is a Tech Lead in Capacity Planning with over 11 years of experience applying data science and machine learning to telecom network planning across Telecom Argentina and Cablevisión. An engineer with a Master's in Telecommunications from UBA and MIT training in Digital Transformation, she blends deep traffic engineering expertise with analytics to produce annual capacity plans and demand forecasts from large-scale network datasets. She has led statistical modelling and ML initiatives to predict IP network equipment demand, correlate application/CDN usage with metro and edge capacity, and automate alerts for approaching limits. Based in Vicente López, Buenos Aires, Natalia is fluent in Python, R and SAS and is known for turning business questions into data-driven decisions while prioritizing continuous learning and operational flexibility.
11 years of coding experience
Maestria en Telecomunicaciones, Telecomunicaciones, Sobresaliente, Maestria en Telecomunicaciones, Telecomunicaciones, Sobresaliente at Universidad de Buenos Aires
Ingeniería, Telecommunications Engineering, Ingeniería, Telecommunications Engineering at Universidad Distrital Francisco José de Caldas
Contributions:36 pushes, 1 branch in 1 year 7 months
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