Blog: https://www.billparker.ai/I am an accomplished technology and software engineering executive who has taken large, technical projects from the design stage through all phases of development in projects involving statistical analysis and complexity science. These software products – Marketing Mix Optimization (MMO), Optimizer, WinCross, WinQuery, and QueryWeb - have become leaders in their respective fields.I have over 30 years of software design and development experience in agent-based modeling (ABM), statistical analysis and market research applications. I have the unique perspective of both analytics and engineering. Most of my software engineering and analytics career has involved seeing opportunities for the companies I have worked and developing software and analytics when the current analytic tools were not sufficient to providing the best insights.Prior to starting Neuralocity, I led the software development effort for ThinkVine's marketing planning and simulation software and managed the SDLC agile process. Before that, I was Software Development Manager for The Analytical Group where I architected the company's 3 major products (WinCross, WinQuery, and QueryWeb) that remain category leaders today.Now At Neuralocity, we are devoted to drive real solutions in drug discovery with the tools of artificIal intelligence.► Education: I have a B.S.in Mathematics from Arizona State University, a B.S. in Marketing & Economics from Northern Illinois University, and an M.S. in Engineering (Software) from Arizona State University.► Languages: Python, C#, Java, C/C++, PHP, ASP.Net, Go, VB.NET, Ruby, Vue.js, React, Angular, TypeScript, Django, Spring MVC, Swift, Ionic, SQL, MySQL, Flask, PostgresSQL, Pandas, Entity Framework, Thymeleaf, Laravel, Razor, WCF, VBA, REST, LINQ, jQuery, JavaScript, HTML, CSS, MapReduce, Hive, HBase► Tools: Microsoft VS Code, IntelliJ, Microsoft Visual Studio.NET, Eclipse, Jenkins, Github, Team Foundation Server (TFS), Jira, Jupyter, TensorFlow, Keras, SQLAlchemy, Matplotlib, Leaflet, scikit-learn, Selenium, Bitbucket, Confluence, Snowflake, Google Cloud, Azure, AWS, Firebase, Tableau, Heroku, PySpark, Android Studio, XCode, TeamPulse, Plotly, Highcharts, Apache POI, NetBeans, Spark, Databricks, SPSS► Analytics: machine learning, neural networks (recurrent, convolutional, etc.), regression, cluster analysis (K-Means, Hierarchical, etc.), factor analysis, NLP, PCA, generative AI