Telling a story is easy; finding the story in your data is a bit tougher; but connecting the story of your data with your audience - in a meeting, boardroom, or a 3,000-seat theater - is the challenge. I bring a diverse perspective to consumer analytics and data science. My passion is to connect audiences to data-driven insights. I hope to use an attentive eye and responsive analysis to connect you with your audience. My passion comes from finding the narrative within the evidence and bringing that story to your stakeholders, clients, or customers. My data visualization experiences includes: Power BI, DAX, Tableau, and Python (Seaborn, Bokeh, matplotlib, etc.) My data analysis and engineering experience includes: SQL, MySQL, PostgreSQL, SQL Server, PowerQuery, web scraping, and Azure, My data science experience includes: Python, Pandas, NumPy, scikit-learn, natural-language processing (NLP), data wrangling, exploratory data analysis, machine learning (ML), linear regression, neural networks, and supervised- and unsupervised learning. I have prior professional experience with managing customer-service teams and maintaining SQL-based databases. Other recent experience emphasizes data visualization, exploratory data analysis, and linear/logistic regression. Consistently successful with project management, incorporating new initiatives, strategic planning and event planning. I have over 10 years’ experience as a professional opera singer.