Dcs Daniel Rodriguez Gonzalez

Lead Machine Learning Engineer at Tiger Analytics

Daniel Rodriguez Gonzalez, DCS has extensive work experience in the field of machine learning and data science. Daniel currently holds the position of Lead Machine Learning Engineer at Tiger Analytics, where they collaborate with clients to analyze, architect, and develop data engineering and machine learning frameworks. Daniel'sresponsibilities include implementing MLOps best practices, data lakes, and cloud-based analytics solutions using technologies such as Databricks, Airflow, AWS Sagemaker, and AWS CloudFormation.

Prior to their current role, Daniel served as a Senior Machine Learning Engineer at Colorado Technical University, Kratos Defense and Security Solutions, and DISH Network. In these positions, they contributed to various machine learning projects and developed expertise in areas such as model training, deployment, and data analysis.

Daniel's earlier experience includes roles as a Data Scientist and Machine Learning Engineer at Kratos Defense and Security Solutions, Data Scientist at Metis, Senior Field Applications Engineer at Fortemedia, and Field Applications Engineer at Microchip Technology Inc. and SRI International. In these roles, they worked on diverse projects ranging from microcontroller solutions to data acquisition systems and GPS-based training platforms.

Daniel started their career as an Undergraduate Student Researcher at Nike, where they gained experience in high-voltage adhesion technology and 3D prototyping.

Overall, Daniel Rodriguez Gonzalez, DCS has a strong background in machine learning, data engineering, and technical roles, working with a wide range of technologies and industries throughout their career.

Daniel Rodriguez Gonzalez, DCS, has a strong educational background in the field of data science and engineering. Daniel holds a Doctor of Computer Science (DCS) degree in Big Data Analytics from Colorado Technical University. Prior to this, they completed a Master of Science (MS) degree in Data Science from Southern Methodist University. Daniel also obtained a Bachelor of Science (BS) degree in Engineering from Harvey Mudd College.

In addition to their formal education, Daniel has actively pursued further certifications to enhance their skills in the field of data science. Daniel obtained the certification in Implementing Generative AI with Vertex AI from Google in July 2023. Daniel also received certification in ML Observability Fundamentals from Arize AI in March 2023. Furthermore, they hold the AWS Certified Machine Learning - Specialty certification from Amazon Web Services (AWS), obtained in February 2022. Additionally, they have completed The Data Scientist's Toolbox course and holds a certificate from Coursera, obtained in January 2014.

Based on the provided information, Daniel Rodriguez Gonzalez, DCS, is highly qualified and well-equipped with the necessary knowledge and skills in the field of data science and engineering.

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Timeline

  • Lead Machine Learning Engineer

    July, 2022 - present

  • Senior Machine Learning Engineer

    April, 2021