Joseph Stoeber

Joseph Stoeber has a diverse work experience in various roles, primarily as a data scientist and data engineer. Joseph has worked at multiple companies, including Kubient, Contino, Forcepoint, VideoAmp, Hasbro, WD (a Western Digital company), Accenture, Intel Corporation, and TriQuint Semiconductor.

At Kubient, they worked as a Senior Data Scientist, specializing in the GCP cloud framework. Joseph used IaC, Scala, SQL, Spark, and Python to detect ML fraud in digital advertising. Joseph'sresponsibilities included airflow construction of pipelines, model building, Tableau development, and ML model development using Go, Scala, and Python.

As a Senior Data Consultant at Contino, Joseph combined DevOps and Data consulting to automate cloud operations for customers. Joseph used various tools and technologies such as Azure bicep templates, AWS CloudFormation, GCP Deployment Manager, Terraform, and Ansible. Joseph'swork involved constructing data science pipelines, cloud administration, developing a Terraform provider for Talend, scripting, and automation.

Joseph also worked as a Senior Data Scientist at Forcepoint, where they constructed models based on human interaction to predict and focus on future behaviors that could impact cybersecurity. Joseph used JavaScript, AWS tools, Java, Python, and Golang for data engineering and data science tasks.

In their role as a Senior Data Engineer at VideoAmp, Joseph worked in an AWS environment, utilizing Scala, Python, Hadoop, Spark, and AWS Redshift. Joseph built pipelines to gather data from multiple sources into the VideoAmp system and developed TV demographic groups for demographic analysis and advertising performance.

Previously, Joseph held positions as a Principal Data Scientist at Hasbro and a Data Scientist at WD (a Western Digital company) and Accenture. Joseph also worked as a Cleans Development Engineer and Lithography Process Engineer at Intel Corporation, focusing on developing and maintaining photolithography processes.

Joseph's earlier experience includes working as a Lithography Engineer at TriQuint Semiconductor, where they focused on E-Beam and I-line lithography and process development.

Overall, Joseph Stoeber has a strong background in data science, data engineering, cloud operations, and lithography engineering.

Joseph Stoeber has a Master's degree in Electrical Engineering from the University of Texas at Dallas, which was obtained in 2003. Prior to that, they earned a Bachelor's degree in Physics from Florida State University in 1995. In addition to their formal education, Joseph has also pursued various certifications, including ones in software planning and releasing with Jira, leadership through feedback, asking for feedback as an employee, having difficult conversations, improving conflict competence, and performance management. Joseph has also completed courses and specializations in areas such as Apache Spark deep learning, Scala, leading virtual meetings, data engineering and machine learning on Google Cloud Platform, and machine learning with TensorFlow. Joseph also holds a Machine Learning on Google Cloud Platform Certificate from Cloud Academy, Inc., although the specific completion date is not provided.