Daniel Boecker Email & Phone Number

Charlotte, NC, US

Minneapolis, Minnesota, United States

• Build, Fit, Maintain, Govern and Defend Quantitative and Qualitative Models for Financial Crimes to Line of Business Auditors and Regulatory Officials (AML/BSA) using Python, SAS, SQL, Teradata, Logistics, OLS.
• Develop custom KPIs (key performance indicators) to track model performance including ATL/BTL analysis, also for LOB (line of business) to monitor model performance including collaborating in a cross-functional.
• Deep-dive data analytics and data mining on disparate structured and unstructured data analyzing, finding new patterns, relaying the story of the data.
• Utilize machine learning, artificial intelligence and algorithms to build and refine models.

Minneapolis, Minnesota, United States

• Utilize database knowledge and business processes to perform advanced data analysis to accurately identify populations of customers that require remediation and also calculate the refund, account adjustment or other.
• Knowledge of complaints space and CEDA with focus on attention to detail, translating, standards and summarizing complex data into understandable and actionable insights via storytelling of the data.
• Lead analysis and cross-functional collaboration with stakeholders and leadership to define business requirements and build those into reporting requirements, track progress and report impact on future results.
• Build data requirements and translate them into code, analyze large datasets including doing root cause analysis and independently validate data for quality control.

Minneapolis, MN

• Established advanced statistical metrics, utilizing distributional analysis and ARIMA modeling to inform business strategies and improve business intelligence.
• Extracted new insights on trends and communicated findings via statistical analysis and data visualization dashboards and presentations.
• Guided a team of 6 data analysts and developed a technical training/partial rebuild initiative for the tech stack.
• Educated the team on data pipelines and data marts, introducing web-scraping (via Python/Selenium), API calls (via SAS and Python) and coding best practices (SAS, Python and SQL) for reporting and analytics.
• Rebuilt the data pipeline/data mart process using coding best practices and optimization skills to improve data availability from 50% up-time and 6-10-hour processing times per process to less than 10 minutes.
• Fostered cross-functional collaboration with IT, access management, and other departments to construct data pipelines on distributed data, reducing reporting errors by 25% and driving $500K in savings.

Minneapolis, Minnesota, United States

• Enhanced ETL process development by refining data pipelines by introducing direct calls of data and data requirements on unstructured data, improving data quality, and optimizing report accuracy.
• Performed extensive big data analysis and data mining, leveraging advanced statistical techniques on large datasets to extract key insights and identify potential risks.
• Deployed innovative technological report automation solutions, effectively reducing the time required for report processing and transitioning reporting schedules from days to minutes.
• Enhanced business processes by replacing obsolete technology with state-of-the-art tools (Advanced SAS process), streamlining monthly reports, and equipping the team with access to contemporary resources.
• Enhanced CCAR/CECL compliance reporting and audit efficiency by streamlining the monthly reporting process via strategic technological upgrades and process optimizations. a 90% reduction in processing time for critical.

Plymouth, MN

• Utilized data modeling and validation to identify emerging trends, effectively communicating findings to stakeholders and leaders, resulting in substantial cost reductions via data-driven business strategies.
• Performed ETL processes on unstructured data and UAT across diverse data sets, standardizing data to yield valuable insights, introducing new analytical methods, and providing new insights in management reporting.

Eden Prairie, MN

• Designed a tailored process automation system, resulting in a 99% decrease in report generation duration for analysts, leveraging C#, XML, SQL, and Win Scheduler.
• Established advanced data-driven metrics in dashboards and visualizations to inform business decisions and strategic planning.
• Owned an end-to-end data analysis project that built a business intelligence dashboard and visualizations for stakeholders that became a must-have for executives utilizing Power BI, Excel, SQL and C#.

55345

• Directed the optimization of data pipelines, decreasing data processing duration by 30% and generating annual cost savings of $500K while enhancing data uniformity, precision, and reliability.
• Utilized data modeling and validation techniques to provide trend insights accessible to technical and non-technical users, including C-level executives, via comprehensive financial analysis.
• Developed and implemented a custom database structure employing SQL and VBA to replace a manual procedure, improving accuracy to 99.99%.
• Created personalized Excel dashboards for sales reporting, improving the accuracy of sales forecasts, streamlining the sales procedure, and enhancing client relationships.

Master Of Science, Applied Economics

The degree's (MS - Masters of Science) focus was Finance, Economics and Quantitative Analysis. I specifcally studied Time Series Analysis.

Bachelor Of Science (B.S.), Economics

This degree (BS - Bachelor of Science) focused on the rigorous foundations of advanaced Econometrics, Statistical Analysis and Research.