Design and develop technical solutions for new and existing Business Intelligence applications to enable clients to accomplish their business objectives. Interact with Product Owners, Solution Architects, System Analysts, Business Users, Test Analysts, Scrum Masters and peer developers to deliver effective and efficient analytic solutions.Key Duties:- Design and develop business intelligence applications, data warehousing solutions and ETL pipelines for internal/external sources leveraging Looker, Tableau, Cognos, Python, Jupyter Notebook, Oracle, PL/SQL, Toad, Oracle Application Express, Git, Jenkins, uDeploy, Agile/Scrum and Test Driven Development (TDD) methodologies

ProCARE Portal is a robust and highly-configurable physician compensation management software platform that enables healthcare organizations to incentivize providers to ultimately improve population health, reduce costs and increase efficiency. Key Duties:• Develop and execute business intelligence and data science strategies and roadmaps that integrate and align with ProCARE's business objectives• Architect, develop, deploy and tune SaaS web applications, data science solutions, BI dashboards and reports leveraging Full Stack LAMP, Git (BitBucket) and Agile development methodologies▪ Oversee all technical aspects (security, processes and infrastructure) to ensure a robust, secure and excellent customer experience▪ Manage internal and vendor technology teams as well as third-party vendor relationships

Member of the Consumer Banking Data Management and Governance organization enabling the annual CCAR (Comprehensive Capital Analysis and Review) forecast and quarterly EST (Enterprise Stress Testing) submissions to the Federal Reserve, OCC and Senior Management. Team lead on the Data Quality and Data Change Management teams supporting the CCAR and EST data quality requirements as well as identifying and communicating impactful data change events to downstream consumers.Key Achievements: ❖ Designed and enhanced Data Change Management tools and processes that annually monitored over 4,000 projects connected to 7,000+ applications and alerted our business partners of material data impacts to their systems. ❖ Reduced data change case manual review efforts by over 50% while increasing case classification accuracy by developing web-based reporting and machine learning models on both structured and unstructured (text) data.Key Duties: ▪ Researched, designed and developed machine learning models to generate recommendations and alerts for Data Change Management partners. ▪ Performed all aspects of the machine learning lifecycle including problem definition, data acquisition, exploratory analysis, data preprocessing, feature engineering, model selection and evaluation. ▪ Built and deployed analytic solutions using machine learning algorithms (Naïve Bayes, decision trees, logistic regression) and tools (R, SAS, Microsoft) on both structured and unstructured (text) data to classify data change events and route those events to the correct lines of business. ▪ Developed, deployed and maintained web-based Microsoft reporting solutions (SSRS, SSIS, SSMS) to deliver event recommendations and data insights to our business partners. ▪ Built tools and optimized processes to 1) ensure compliance with Enterprise Data Management Policies and Standards, and 2) identify and communicate data impacts to downstream consumers in the Consumer Banking data supply chain.

Execution team member within the Direct Marketing Center of Excellence (DMCE) that supported the marketing efforts for Global Consumer and Small Business Banking products. These products included Mortgage, Home Equity, Deposits, Student Lending, Insurance Services, Market Research and Customer Integration/Lead Generation.Key Achievements: ❖ Reduced SAS data analysis and data warehousing job execution times by over 50% by refactoring and optimizing code and implementing performance tuning techniques.Key Duties: ▪ Designed, developed and deployed technology solutions supporting the marketing of Global Consumer and Small Business Banking products (Mortgage, Home Equity, Deposits, Student Lending, Insurance Services, Market Research and Customer Integration/Lead Generation). ▪ Leveraged SAS, SQL (Teradata) and Linux skills in the creation of customer campaign lists for direct marketing, telemarketing, email and splash (web) programs. ▪ Partnered with data science teams to append and validate customer model scores and ensure top performing deciles were selected and marketed to. ▪ Performed marketing data audits to ensure data integrity and accuracy and adhere to Bank of America's information security, compliance and privacy policies.

President of IT consulting firm that delivered SaaS (Software as a Service) analytic tools and services to SMBs leveraging the latest technologies in open source reporting, business intelligence (BI) and data science.Key Duties: ▪ Designed, developed and tuned MySQL databases in both third normal form and dimensional schemas. ▪ Developed data warehouses, analytic reports (OLAP cubes, dashboards) and data mining solutions to support customer BI initiatives. ▪ Built and maintained LAMP websites for startup organizations utilizing PHP, MySQL, JavaScript, AJAX, XML, CSS, HTML, XHTML, SEO, Google APIs and open source content management systems e107 and Joomla. ▪ Designed and developed ETL solutions leveraging Pentaho Data Integration (PDI).

Member of the remote IT services department that provided web programming and database services to HIT small business clients. Key Duties: ▪ Designed, developed and tuned MySQL databases in both third normal form and dimensional schemas. ▪ Consulted with clients and project managers to deliver web solutions utilizing PHP, MySQL, HTML, XML, Google Maps API and JavaScript.

Technical Lead, Business Intelligence Developer and Data Scientist enabling one of the largest medical laboratory testing and services companies in healthcare to process almost 500,000 specimens every day for over 220,000 clients worldwide. Supported the financial, marketing, laboratory and customer service business units developing and managing innovative technology solutions.Key Achievements: ❖ Developed a financial data warehouse that audits transactions and alerts users of any variances from $13 million of daily financial activity. ❖ Developed a predictive model for future patient revenue that reduced monthly mailings by over 60,000 and improved customer profitability.Key Duties: ▪ Led cross-functional enterprise data inventory for the CEO and Strategic Planning executive supporting customer retention and managed care strategies and monetizing the company’s vast data resources. ▪ Performed all data mining lifecycle tasks including problem definition, data acquisition, exploratory analysis, data preparation, modeling, tuning, scoring and production deployment. ▪ Leveraged SAS and SQL tools to develop predictive analytic solutions supporting financial and customer service initiatives to optimize revenue collection programs. ▪ Performed adhoc analyses and reporting of customer behavior and profitability from big data repositories and warehouses.

Provided IT services to LabCorp to enhance and support their laboratory and financial IT systems.Key Achievements: ❖ Successfully upgraded, refactored and tested legacy software and systems to be Year 2000 (Y2K) compliant by Dec 1999 (no major financial or operational impacts experienced in Jan 2000).Key Duties: ▪ Performed all phases of SLDC, including the analysis, design, development, implementation and maintenance of client's laboratory and financial IT systems. ▪ Leveraged legacy, web and database technologies to enhance and support the client's financial IT systems.

Software Developer and Programmer Analyst for VF Corporation, one of the world’s largest apparel, footwear and accessories companies with annual sales of more than $12 billion. Developed and maintained mainframe, client-server, data warehouse and reporting solutions in the sales, inventory and manufacturing departments supporting large retail clients such as Walmart and Target.Key Achievements: ❖ Developed and deployed a 750GB data warehouse and related ETL and quality control processes within 5 months that analyzed sales and inventory data to improve customer service, reduce excess inventories and increase revenues.Key Duties: ▪ Designed, developed, tested and deployed complex batch and online sales, inventory and manufacturing software applications.