Daniel McCormick

Background

About Daniel McCormick

MBA: Global Management graduate student at University of Louisiana at Lafayette Moody College of Business. Graduation: Fall 2023. I have a strong love of Data Analytics, Machine Learning, and Statistical Analysis. Legal Assistant with experience in personal injury law, criminal defense including DWI law, traffic ticket defense, inadequate security and premises liability law's, including NM Rules of criminal and civil procedures, and NM insurance law's. Experience filing New Mexico Inspection of Public Records Requests (IPRA), including requirements of NM Gov institutions & organizations. Completed NM Continuing Legal Education Course: Using IPRA as a Tool to Win Before Discovery. Active NM Property and Causality insurance license, combined with knowledge about insurance claims processes, claims procedures, and claims litigation procedures. Strong knowledge about Microsoft (MS) Office 365, MS Word & Excel, Outlook, Publisher, and PowerPoint. Strong experience, knowledge for how to group, model, manipulate, and evaluate large datafiles with Microsoft Excel, Tableau, and KNIME data analysis, data presentation programs. Knowledge regarding how to use Excel for data analysis, confusion matrix's, backwards elimination for linear regression analysis p-score, descriptive statistics evaluations. Use of Python within MS excel for database AI machine learning, as well as using large datasets to generate predictions about future sales, including specifics and/or demographics to make statistical inferences upon to predict future sales and projected future marketplace trends.