Diego Perea Ph.D.
About Diego Perea Ph.D.
Diego Perea, Ph.D., is a Data Scientist at TELUS in Montreal, Quebec, Canada, with extensive experience in telecommunications, big data analysis, and machine learning.
Current Position at TELUS
Diego Perea, Ph.D., currently works as a Data Scientist at TELUS in Montreal, Quebec, Canada. In this role, he leverages his expertise in big data, machine learning, and network performance analysis to optimize telecommunications systems. His responsibilities include working with Google Cloud Platform for big data storage and query processing.
Previous Roles in Telecommunications
Diego Perea has held several key positions in the telecommunications industry. Before his current role, he served as a Design Specialist in the Capacity Management and Forecasting Group at TELUS Communications from 2014 to 2018. In this role, he was involved in time-series forecasting of network IP traffic and OTN services, and he developed the OTN Capacity Forecasting Dashboard using Tableau.
Big Data and Machine Learning Projects
Throughout his career, Diego Perea has worked on various big data and machine learning projects. He led the HSIA Customers Segmentation project, where he processed terabytes of IP traffic and mobile video data using Hadoop Hive. Additionally, he developed regression models for Wireless RAN KPIs using supervised learning techniques and applied clustering techniques to enhance these models.
Education and Academic Background
Diego Perea holds a Ph.D. in Electrical Engineering with a focus on Telecommunications from Polytechnique Montréal, where he studied from 2007 to 2013. He also has a Master of Applied Science (M.A.Sc.) in Electrical Engineering from The University of British Columbia. Additionally, he earned a Bachelor of Applied Science (B.A.Sc.) in Electrical and Electronics Engineering from Pontificia Universidad Javeriana and a Bachelor of Science (B.Sc.) in Physics from Universidad Nacional de Colombia.
Other Professional Experience
Diego Perea has a broad range of experience in engineering roles. He worked as a Research Engineer at The University of British Columbia’s Lab for Advanced Networks from 2004 to 2006. Prior to that, he spent three years at Spectrum Signal Processing as a DSP Software Development Engineer, where he implemented new functionalities and performed system integration and testing of VoIP systems using DSP software development in C/C++ and Texas Instruments Assembly.