Milele Hallingquest

Professional Experience

Business Intelligence and Reporting: Taught and developed curriculum for Business Systems Analysis and Design and Business Intelligence and Reporting courses, focusing on data visualization, statistical analysis, and data-driven decision-making using tools like Tableau, Power BI, and SQL.
Predictive Analytics and Data Modeling: Led hands-on projects guiding students in the use of predictive analytics, data modeling, and data mining techniques to solve real-world business problems.
Data Warehousing and ETL Processes: Delivered instruction on data warehousing, ETL processes, and database management, providing a strong foundation in structured data analysis and optimization.
Data Analysis: Integrated cutting-edge data analysis tools into the curriculum, ensuring alignment with industry standards in big data and data-driven business solutions.
Collaboration: Evaluated instructor performance as Team Lead to ensure active course participation, engagement outreach, and responsiveness to student needs.

Data Management and Real-Time Tracking: Implemented a new process for managing and organizing the data sets to track get-out-the-vote campaigns that provided real-time updates.
Workflow Development and Database Tools: Developed workflows for tracking canvassing activities and performance by building and deploying database tools, replacing Excel data entry.
Automation of Reporting Processes: Automated daily report delivery process to identify trends with organizing program data collection for national and state staff, replacing manual efforts.
ETL Processes and Data Quality Control: Established ETL processes to improve quality control of user data, leveraging SQL and database tools.

Media Campaign Analysis and Insights: Analyzed quantitative information to identify media drivers and influencers to empower corporate brands to measure the effectiveness of their TV and digital campaigns.
Sales Support and Business Growth: Developed proof of concept sample reports to support the sales team, leading to a 5% increase in new business.
SQL Development and Data Quality Assurance: Developed SQL scripts to resolve data quality issues, including data validation and cleansing procedures to ensure accuracy and integrity of reported data.
ETL Process Implementation: Reduced data processing time by 30% and increased efficiency in generating reports by implementing ETL processes.

Society for Neuroscience (SFN): Collaborated closely with SFN’s cross-functional teams in documenting requirements, data structures, and process flows to determine KPIs and to make business intelligence tool recommendations.
The Casket and Funeral Supply Association (CFSA): Managed a project to develop a cloud-based member credit reporting application, increasing efficiency and improving member satisfaction.
Asia Society: Automated company survey judging packets and reporting processes, reducing delivery time by five days ahead of schedule.
Copper Development Association, Inc. (CDA): Developed test cases aligned with business requirements for web services project, improving search capabilities on the client website.

Automation and Reporting: Drove initiatives to enhance automation for data reporting, eliminating manual tasks and reducing report generation time by 10%.
Collaboration and Decision Support: Collaborated with the Marketing, Sales, and Finance departments to solicit reporting requirements and improve decision-making.
ETL Process Improvement: Developed SQL scripts to resolve data quality issues during the ETL process, resulting in improved accuracy and efficiency.