Owner, Data Consultant
Current▪ Data Analysis and Visualization:- Collaborate with stakeholders to gather business requirements, understand processes, and design and implement actionable, data-driven solutions.- Implement interactive dashboards and visualizations using tools like Spotfire, Plotly/Dash, and Power BI.- Conduct analytics focused on operational efficiency, preventative maintenance, and predictive failure.▪ Data Engineering:- Develop data ingestion, cleaning, and transformation workflows using tools such as Alteryx, Pandas, and other Python libraries (e.g. Requests, Beautiful Soup).- Create automation and data scraping workflows to streamline business processes and drive efficiency through time savings.- Design and implement data architectures and frameworks for data storage and delivery (e.g. Snowflake Data Marketplace).▪ Project Management and Leadership:- Lead and mentor teams of analysts.- Present findings and recommendations to management teams and stakeholders.- Design narratives, documentation, and reporting for datasets.Notable Projects:▪ Water Operations Analytics Automation for an Energy Company:- Designed dashboards and overhauled processes to automate ingestion of water operations data generating new insights containing geospatial, real-time cost analysis, and logistics components. Centralizing and automating these data resulted in a time savings of 400+ hours per year.▪ Flow Meter Hierarchy Transformation for an Energy Company:- Engineered processes to transform and visualize oil & gas flow meter data that previously could not be extracted from software due to database design constraints. Leveraged Spotfire and Python to rebuild hierarchical data flow to resolve reporting obstacles.▪ SAP/Product Implementation for a Manufacturing Company:- Led the data conversion efforts of over 20 disparate on-prem systems and facilitated product implementation to a centralized SAP solution. Resulted in a successful transformation coming in on time and under budget.