I'm a Data Scientist who loves turning complex data into actionable insights. My experience includes working on a variety of projects where I've developed solutions that boost performance, reliability, and decision-making.A few things I’m proud of:● Boosting Network Reliability: I built an automated healing system for networks that achieved over 98% accuracy. This deep learning solution greatly improved network performance by handling diverse data challenges.● Driving Data-Driven Decisions: I’ve analyzed everything from network data to multimedia, using tools like Python and Pandas to create clear, impactful visualizations. These have helped stakeholders make informed decisions and optimize resources.● Optimizing AI Models: I’ve fine-tuned AI models to reduce GPU usage by nearly 12%, ensuring that they’re both powerful and efficient. My work has led to faster, more cost-effective AI solutions.I speak English, Spanish, and French, and I’m passionate about technology to solve real-world problems and deliver value.Let’s connect and explore how we can collaborate!
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Assistant ProfessorUnie UniversidadMálaga, An, Es
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Data ScientistEricsson Sep 2024 - PresentMálaga, Andalusia, Spain● Participated in the development of internal libraries, including creating unit tests, utilizing CI/CD pipelines, managing package requirements, and creating documentation.● Conducted research and prototyping in artificial intelligence as part of the Cognitive Software R&D Malaga group. -
Data ScientistEricsson Oct 2023 - Apr 2024Málaga, Andalusia, Spain● Designed and implemented a dynamic data processing system for Self-Organizing Networks, achieving 98.20% accuracy in uplink interference classification using deep learning and computer vision techniques.● Implemented model management, control, versioning, and benchmarking techniques using Weights & Biases, resulting in an 11.74% reduction in GPU consumption during training.
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Data ScientistEricsson Jan 2023 - Jul 2023Málaga, Andalusia, Spain● Developed a feature extraction system utilizing the Discrete Cosine Transform (DCT) for unsupervised learning, reducing execution time by 29.63% compared to FFT-based techniques.● Engineered and deployed machine learning models for multi-class time series analysis, achieving 85% accuracy in classifying uplink interference.● Collaborated with the Department of Communications Engineering at the University of Malaga, contributing to a research paper presented at the International Union of Radio Science (URSI).
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Data ScientistUniversidad De Málaga Oct 2022 - Dec 2022Málaga, Andalucía, España● Developed Python scripts for clustering algorithm analysis and exploration, automating Self-Organizing Networks applications.● Designed and implemented ETL scripts to optimize data flows from various operators, enhancing KPI analysis for diagnosing and detecting interference patterns in 4G and 5G mobile network uplinks.
Daniel Bazo Correa Education Details
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7.23/10
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7.69/10
Frequently Asked Questions about Daniel Bazo Correa
What company does Daniel Bazo Correa work for?
Daniel Bazo Correa works for Unie Universidad
What is Daniel Bazo Correa's role at the current company?
Daniel Bazo Correa's current role is Assistant Professor.
What schools did Daniel Bazo Correa attend?
Daniel Bazo Correa attended Universidad De Málaga, Universidad De Málaga.
Who are Daniel Bazo Correa's colleagues?
Daniel Bazo Correa's colleagues are Rashmitha M, Ernest Zhao, Jouni Väänänen, Ann-Cathrin Kloek, Sebastien Vizzacchero, José María Ruiz Avilés, Gopinadh Ginjupalli.
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