Dan Spohn

Director - Data Science, Data Engineering, And Analytics at Adwerx

Dan Spohn has a diverse work experience spanning over 15 years. Dan started their career as a Web Application Developer at TripleClick Design, where they contributed to the development of various web applications. Dan then worked as a Database Programmer at Pharmacy Data Management, Inc. (PDMI), focusing on T-SQL programming and SQL Server development.

Dan later became a Business Intelligence Developer at Progressive Insurance, where they utilized technologies like MS SQL Server, Integration Services, and Analysis Services to create dashboards and reports for analysts and technicians. Dan then ventured into self-employment as a Web Developer, utilizing technologies such as PHP, MySQL, Linux, and Apache to develop websites.

In 2010, Dan joined Knotice (acquired by IgnitionOne) as a Data Scientist, where they conducted exploratory data analysis and implemented digital marketing response models using R, MADlib, and SQL. Dan then moved on to work as a Data Science Consultant, completing projects involving predictive modeling, data analysis, and database systems development utilizing Amazon Web Services (AWS).

Dan's experience continued as a Senior Marketing Data Scientist at SolarCity (now Tesla Energy), where they managed analysts and took part in building an internal Marketing Data Management Platform. Dan integrated data points across the consumer journey, such as website impressions, social interactions, and CRM data.

Dan then served as the Chief Analytics Officer at CompanionLabs, leading the building and management of data pipelines, data warehousing, and the development of various analytics systems. Dan also built advanced systems utilizing Python, PySpark, and Multiple-Criteria Decision Analysis.

Most recently, Dan worked as the Director of Data Science at Adwerx, where they built an analytics data warehouse, performed ETL processes, constructed visualizations and dashboards, and conducted product and customer analyses using tools like Python, Tableau, and R.

Overall, Dan Spohn's work experience showcases a strong background in data science, analytics, and database development, with a focus on utilizing a variety of tools and technologies to deliver data-driven insights.

Dan Spohn has a diverse education history. Dan obtained a Master of Science (MS) degree in Bioinformatics from Brandeis University from 2022 to 2024. Prior to that, they pursued a Certificate in Data Science from the University of Washington in 2014. Dan also earned a Masters of Science degree in Computing and Information Systems from Youngstown State University in 2006-2007. Dan completed their undergraduate education at Kent State University, where they received a Bachelor of Business Administration degree in Computer Information Systems from 2001 to 2005.

Dan Spohn has also pursued additional certifications to further enhance their skills. These include certifications in Introduction to Agile Development and Scrum, Introduction to Cloud Computing, and Introduction to DevOps obtained from Coursera in 2023. Dan also obtained certifications in various bioinformatics and genomics-related courses, such as Principles of Biochemistry, Comparing Genes, Proteins, and Genomes, Whole genome sequencing of bacterial genomes - tools and applications, Fundamentals of Immunology, Command Line Tools for Genomic Data Science, and more. Dan has obtained certifications from Coursera, edX, and Google AdWords.

Dan Spohn's education also includes a High School Diploma from Benedictine High School, although the specific years are not provided in the information.

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Timeline

  • Director - Data Science, Data Engineering, And Analytics

    October, 2018 - present

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