Ruth Wright

Experience

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  Gadsden City High School

  Sept 2008 - Jul 2013

  High School Mathematics Teacher
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  Coosa Christian School

  Aug 2013 - May 2024

  High School Mathematics Teacher
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  Western Governors University

  Aug 2021 - Jan 2024

  Data Science Project Creator for Master’s of Science in Data Analytics

  Developed complex machine learning models and conducted advanced data analyses to answer real-world business questions and satisfy the requirements of WGU’s competency-based MSDA program. The completed analyses include the use of SQL queries, Principal Component Analysis, the Chi-Square Technique, Multiple Linear Regression, Logistic Regression, the Naive Bayes Classification Method, the Random Forest Method, K-Means Clustering, SARIMA Time-Series Modeling, Recurrent Neural Networks and Natural Language Processing. The projects also include Tableau data visualization dashboards. All machine learning models were validated using relevant metrics. Show less

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  Royal Cup, Inc.

  May 2024 - now

  Financial Data Analyst

  Financial data analyst for the FP&A department. Routine duties include publishing and analyzing daily and period sales reports for variances and delivering actionable insights to sales team leaders. Projects include building, updating, publishing and maintaining Power BI dashboards for diverse stakeholders (including executive leadership) that contain key performance indicators, time series analyses in R, dynamic Compound Annual Growth Rates and forecasted trends. Additional reporting duties require daily use of SAP, SAP Analytics Cloud, Hyperion/Oracle EPM, MS Excel, DAX, MySQL and other MS Office products.Routinely collaborate with IT and Finance department leaders to standardize data management tools and best practices across multiple departments. Provided extended temporary coverage for the treasury management duties such as updating and maintaining the 125 year old company’s 13-week rolling liquidity forecast and processing the weekly deliverables to external stakeholders. Show less