We build superior classification models and we do it quickly. Our data preparation code scales and constructs interaction terms from your raw data. The transformed data feeds the algorithm generation module. The AGM provides pdf output of diagnostic and statistical properties of your data and the algorithms capacity to predict an outcome. Visit our site or send an email to obtain a sample copy of how we will report on your prediction project. MimirAnalytics.com, mseidel@MimirAnalytics.com

• Aggregate multiple data sources, build data pipes, and develop reports.• Engage leadership to discern objectives and resolve structural impediments.• Document root cause of system failures and associated corrective actions.• Generate financial statements. Great Plains, SQL, Excel.• Migrate SAS ML processes to AWS SAS EG from local SAS Base/Stat.• Estimate adaptive spline GLM algorithms and integrate with supply chain management system

• Estimate GLM algorithms to forecast demand.• Integrate estimated replenishment algorithms with the supply chain management process.• Migrate BI reporting processes to AWS SAS EG from local SAS Base/Stat.

• Utilized machine learning techniques to train over 25,000 predictive algorithms.• Identified root cause of forecast anomalies, and rectified ETL failures.• Optimized queries to increase data processing speeds within Netezza and Hadoop.• Hired staff to support, refine, and expand forecasting and reporting capabilities.• Migrated SAS processes from a Windows server environment to an UNIX environment.• Liaised with IT to expedite system configurations and software installation.• Facilitated sales goal adoptions by forecasting daily landing page impressions per visit.

• Developed member profile scores for inbound call routing and queue prioritization.• Fully developed a LOB member tracking system to fulfill broker compensation obligations.• Estimated the market size of Affordable Care Act subsidy eligible individuals by trade area.• Enhanced data access to the analytics team by developing the departmental SQL database.• Performed user acceptance testing on changes in the enterprise data system due to ACA.• Contributed to business requirement documents and functional solution documents.• Adjusted paid search bidding tactics reducing acquisition costs by 50% (AdWords).

• Performed ETL across multiple platforms generating flat SAS files.• Predicted response probabilities for direct mail offers via logistic regression.• Compared offer effectiveness via hypothesis testing (A/B testing).• Briefed management on the appropriate scope and cost of a SAS platform.• Maintained SQL based production reports.

• Generated $10 million of annual incremental revenue by instituting direct mail campaigns to acquire new clients and increase spend of existing clients.• Mined the point of sale (POS) Oracle database to build a data pipe and applied machine learning techniques to build direct mail segmentation models.• Optimized allocation of marketing budget via computation of client lifetime value (LTV).• Hired and coached Marketing Analytic staff.

• Identified at risk of default mortgagors willing and able to repay at modified loan terms.• Implemented a credit qualification algorithm exposing a $13 billion cross sell market.• Boosted portfolio cross sell sales with logistic regression and CART targeting algorithms.• Increased close rates by 50% via a lead distribution algorithm adopted by the sales team.• Oversaw analytical vendor relationships to broaden capacity and key learnings.• Developed tracking techniques and performed A/B tests improving conversion rates.• Deployed SAS based development processes into a SQL production environment.• Supported customer acquisition and CRM initiatives with customer profiles.• Built marketing channel response and conversion dashboards for leadership.

• Reported to the Controller. Recovered the general ledger from an IBM AS/400 and generated consolidated and divisional financial statements of operations in Access.