Keith Toussant, Jr. Email & Phone Number

Alexandria, VA, US

Alexandria, Virginia, United States

• Serve as Supervisory Data Analytics Officer within the NSF's Computer & Information Science & Engineering (CISE) Directorate
• Work closely with the CISE management team to manage the ever-growing data assets and needs and enable CISE to harness that data to support data-driven decision making and strategy setting, as well as improve.
• Supervise and provide technical direction to the Data and Analytics team.
• Design a robust data architecture and leverage sound data infrastructure – enabling CISE to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security.

Baton Rouge, Louisiana Area

• Establish a framework that promotes accurate, precise, and useful analytics offerings that align with the strategic business needs and enable clients to foster an environment of data driven decision making
• Lead cross-functional efforts between software architecture/development and data analytics to deliver robust data science solutions
• Serve as Lead Analytics Developer and Technical Reviewer across the following service offerings: Business intelligence & insights, dashboarding and reporting, quantitative model development and data discovery efforts
• Advise and oversee all analytics projects, manage client communication and exploration of new tools and technologies
• Drive analytics initiatives and strategies as well as work with business development to identify opportunities to leverage data and technology to provide valuable insights to clients
• Build processes that help to ensure delivered analytical content is relevant, replicable and meets the desired business need(s)Vinformatix is a Hub Zone Certified, WOSB custom turn-key software and web-based solutions.

Houston, Texas Area

• Model Risk Management/Validation/CECL Compliance:
• Advise and consult with large multinational banks on the development of comprehensive model risk management and ongoing monitoring plans to ensure operational & regulatory compliance of models (i.e. loss forecasting.
• Performed risk and data controls gap analysis to identify potential areas of risk and worked closely with individual business lines to develop compensating controls & remediation plans
• Developed model validation reports outlining analyses of model risk, model data, soundness, and overall model performance for submission to the Federal Reserve Bank
• Led Current Expected Credit Loss (CECL) model documentation effort for adherence to FASB ASC/ASU Financial Instruments
• Developed interactive dashboard using Tableau to drive decision making and uncover actionable insights which helped client to identify KPIs for bench-marking success/performance

Houston, Texas Area

• Reviewed, validated, and documented regulatory capital requirement models for CCAR (Comprehensive Capital Analysis and Review) and DFAST (Dodd-Frank Act Stress Testing) cycles, while also performing various data.
• Performed independent validations of forecasting models using developer provided codes, data, and documentation while examining assumptions/limitations imposed to identify areas of model risk. Additionally, held task.
• Developed interactive dashboard using Tableau to drive decision making and uncover actionable insights to guide client in identifying key performance indicators (KPI) and key risk indicators (KRI)
• Performed various tests of robustness to ensure models meet or exceed regulatory requirement standards across a range of Federal Reserve stress scenarios (Base, Adverse, and Severely Adverse). Risk Data Management:
• Analyzed forecasting data used by bank holding companies (BHCs) for completing their annual quantitative forecasts of balance sheet assets and liabilities, income, losses, and capital across a range of macroeconomic.

Baton Rouge, Louisiana Area

• Conducted descriptive and prescriptive analyses using Tableau and R to uncover hidden trends, patterns and insights
• Designed and implemented dashboards for reporting insights and findings using Tableau based on client goals and business needs
• Identified opportunities to use existing data to improve business performance while also leveraging statistical modeling to perform quantitative and qualitative data analysis

Baton Rouge, Louisiana Area

• Collect business intelligence data from available industry reports, public information, field reports, and purchased sources to perform market analyses for both new and existing clients
• Assist in the development and maintenance of financial models for each client to help guide their operational decision making processes
• Document client interactions and research completed utilizing Salesforce (CRM software)

Master’S Degree, Master Of Science In Business Analytics

Applicable Courses: • Advanced Data Mining for Statistical Inference • SAS Programming • Advanced Statistical Analysis • Categorical Data.

Bachelor Of Science (B.S.) In Economics | Minor: (It)Information Technology

Activities and Societies: Delta Sigma Pi, Beta Gamma Sigma International Honor Society, Association of Information Technology.