I am an electrical engineer with a master degree in engineering, backed by a strong foundation in mathematics, statistics, sciences, and humanities. My professional focus lies in data science, where I have developed expertise in key areas such as data analysis and processing, leveraging classical Machine Learning algorithms for supervised and unsupervised tasks using Python; Deep Learning model development, with applications in Natural Language Processing (NLP), Image Processing, and Video Processing; and the implementation of Artificial Intelligence solutions in both embedded systems and Cloud Computing environments. I have successfully utilized platforms like Azure and AWS to ensure efficient deployment, scalability, and optimization of these solutions. My robust mathematical and statistical skills enable me to design and rigorously validate all the applications I develop.
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Working from home
Data science | Ph.D. student | Master's degree in engineering | Electrical engineer | 🇨🇴🥋🥊🚵🏻 🏋🏻
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ARUS, UNAL
- Manizales, Colombia
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21:12
(UTC -12:00) - @eder_arley
- in/ealeongomez
- https://scholar.google.com/citations?user=3f_bcccAAAAJ&hl=en&oi=ao
- https://platzi.com/p/eder.leon/
Popular repositories Loading
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Predictive-Modeling-Using-a-Clustering-Based-Approach
Predictive-Modeling-Using-a-Clustering-Based-Approach PublicJupyter Notebook
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Comparing-Regression-Models-with-enhanced-Interpretability
Comparing-Regression-Models-with-enhanced-Interpretability PublicJupyter Notebook
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Time-Series-Forecasting-Using-the-Bayesian-Approach-and-Random-Fourier-Features
Time-Series-Forecasting-Using-the-Bayesian-Approach-and-Random-Fourier-Features PublicJupyter Notebook
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