I am a Data Scientist with a passion to solve complex business problems with math, engineering and code. With more than 25 years of experience in the Wireless Telecom industry working in OEM, consultant companies and operators, I spend most of my research focus on algorithms to support the network autonomic vision while also investigating the fascinating area of AI ethics.
Work & Education
My work is very focused on implementing algorithms in the context of Wireless Networks Operations. In particular, my research and interests are in the vision for the Autonomous Network that encompass the autonomic goals of self-healing, self-configuration, self-optimization, and self-protection. I provide strategic and tactical guidance to achieve those goals.
Patents
Efficient Neighbor List Creation for Cellular Networks. Provides an automatic way to tune cell tower’s neighbor lists in a cellular network .
Maintaining High Signal Quality in Mobile Wireless Networks using Signa Relative Importance Values. An improved version of the previous neighbor list tuning patent that incorporates Fuzzy Logic to account for a more effective way to account for the differences in signal levels between the neighboring towers.
Detecting and processing and anomalous parameter data points by a mobile wireless data network forecasting systems. A time series forecasting system that includes provisions to cleaning outliers in the training data automatically.
Remote antenna coverage change event detection in mobile wireless networks. A multivariate distance-based anomaly detection solution to detect involuntary physical changes in tower antenna systems.
Publications
Vela, M., Kraus, J., Friedman, S. et al. “Estimating the effect of network element events in a wireless network.“ J Wireless Com Network 2018, 82 (2018). https://doi.org/10.1186/s13638-018-1098-1
“Data Science Ethics: What is the Foundational Standard?” in “97 Things About Ethics Everyone in Data Science Should Know” by Bill Franks, Released August 2020, Publisher(s): O’Reilly Media, Inc. ISBN: 9781492072669. A personal copy can be found here
Education
Doctor of Computer Science – Big Data Analytics. (2015-2021) Colorado Technical University, Colorado, USA.
Masters in Business Administration (MBA) (2006-2010) University of Southern Maine, Maine, USA
Bachelors of Science in Electronic Engineering (1990-1996) Pontificia Universidad Católica del Perú, Lima, Perú
Blog
A reflection on the evolution of thought and the current discussion on AI concerns.
“technology sufficiently advanced is indistinguishable from magic.” Arthur C. Clarke ChatGPT is the center of so much controversy today and brings excitement and concern. Some people see a world of possibilities, while others see a world of dangers. I see both worlds happening simultaneously, but more importantly, I think this dilemma has a deeper meaning …
Reproducibility in Keras
I bet I am not the only one that tried to figure this out! Of course I google’d around but really could not find a solution to make a Keras model expel the same results every time I execute the notebook cell with the compile and fit of the model. I read and applied the …
Foundations: is low R-squared a problem?
R-squared nowadays is a strange metric that is not even mentioned in the ML community anymore because it is not used to evaluate modern ML models. However, understanding the intuition behind it and its proper interpretation is helpful to understand how noise in the data can impact model parameters. This post is from a white …