Power BI developer and financial data analyst for the FP&A department. Projects include building, updating, publishing and maintaining 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, MS Excel and other MS Office products.Routinely collaborate with IT and Finance department leaders to standardize data management tools and best practices across multiple departments.

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.