Daniel Rodriguez Gonzalez, DCS

Daniel Rodriguez Gonzalez, DCS

Daniel Rodriguez Gonzalez is a highly experienced Machine Learning Engineer with over 7 years of experience in model development, deployment, and leveraging AWS services to scale ML workflows. He is passionate about improving and faster ML development and deployment cycles, particularly in MLOps. Daniel has a broad technical skillet in Statistics and modeling techniques, particularly in the intersection between Deep Learning and time-series classification to address problems in human activity recognition with wearable sensors. He has worked on various platforms such as python, pyTorch, pySpark, scala, spark ML, scikit-learn, and front-end implementations with Dash. .Read More
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Current Workspace of Daniel Rodriguez Gonzalez, DCS

Tiger Analytics

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In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

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Professional Background of Daniel Rodriguez Gonzalez, DCS

- Successfully implemented complex engineering projects with efficiency and functionality, resulting in streamlined projects.

- Developed advanced field applications, optimizing system performance and contributing to overall business growth.

- Developed advanced machine learning models to drive data-driven decision making and improve machine learning capabilities.

- Conducted groundbreaking research, advancing the field and advancing knowledge for scientific advancements.

- Developing a robust data analysis machine learning model to analyze data and drive informed decision-making.

- Developed efficient engineering strategies to optimize resource allocation and improve overall productivity.

- Developed cutting-edge AI algorithms for improved decision-making and optimized machine learning strategies.

- Implementing cutting-edge technology solutions to optimize performance and enhance system performance.

- Developed cutting-edge machine learning models to enhance data analysis and decision-making processes.

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Education Experience of Daniel Rodriguez Gonzalez, DCS

Colorado Technical University

Colorado Technical University

Southern Methodist University

Southern Methodist University

Harvey Mudd College

Harvey Mudd College

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