• Works with key stakeholders to discover methods to best utilize their data and provide data driven solutions
• Designs dashboards in Tableau and PowerBI to study data trends, analyze KPI's, and create actionable insights
• Uses Python to analyze data and create machine learning models to predict or cluster data
• Utilizes SQL to gather data, create tables and views, and input data into tables
• Creates practical and engaging coursework for students in data courses along with delivering course

• Worked with developers and data scientists to solve business challenges by performing data analysis and building machine learning algorithms on e-commerce, financial, and social media data in Python
• Designed dashboards in Tableau to study sales trends, analyze financial KPIs, and track resource utilization
• Created models to predict how many products and boxes to order to better utilize company resources
• Utilized SQL and MySQL to gather data, create tables and views, and input data into t

• Created a standard procedure for drug discount card customers in Python that analyzes reversed claims, clusters similar claims, and executes supervised machine learning algorithms to predict reversals
• Programmed unsupervised machine learning algorithms in Python to cluster multiple sets of pharmacy claims data to find patterns and inspire questions for future projects
• Used SQL to query and create tables in a DB2 database to create a table with customer data to be used for analyses
• Visual

• Collaborated with engineers and data scientists to perform data analysis and build machine learning algorithms on energy data, using Python, to better utilize the company’s resources
• Applied data science techniques on weather and energy data to predict energy outages
• Built visualizations in PowerBI and Tableau to rapidly highlight key performance indicators for stakeholders
• Produced technical tutorial videos to train employees on company software

• Revamped the City’s business intelligence software with new graphs, a new layout, and updating measures
• Co-produced an Excel document utilized for entry of park usage data and uploading results to website
• Utilized data science techniques such as data analysis, data mining, and data software such as SPSS and Microsoft Excel to solve problems and make data-driven decisions
• Trained employees on how to use City’s business intelligence software more effectively