Goal-oriented professional experienced in analyzing, developing, and implementing data-driven solutions that have enhanced decision-making, improved effectiveness of products and equipment, and supported business growth. Strength in quickly learning and applying new tools, methods, and best practices to build models, dashboards, and applications to predict outcomes, identify trends, and solve complex problems. Leverage R, R Shiny, Python, Spotfire, PowerBI, SQL, C++, and Azure Machine Learning. Skill in collaborating with teams and customers to analyze needs, solve problems, and deliver projects across agile environments.★ ★ ★ As a Data Science Analyst / Intern with Kalypso (a Rockwell Automation Company), participated in multiple client projects to develop and evaluate machine learning models, verify data in modeling, and determine methods to implement machine learning models to deliver the most client value across an agile delivery environment. As a Data Science Intern with The J.M. Smucker Company, contributed to team and individual projects to develop a predictive application and dashboard leveraging agile methods. Designed and executed unit tests for applications. Communicated with business customers to determine project needs★ ★ ★ Strengths & Skills >>➤ Testing Scenarios Development and Execution➤ Data Capture, Extraction, and Manipulation➤ Data Visualization and Actionable Insights➤ Machine Learning / Artificial Intelligence➤ Historical and Predictive Modeling➤ Time Series Analysis