- Chair of enterprise analytics collaboration/connections in a decentralized enterprise analytics model to drive alignment, efficiency, and shared learning to increase value and productivity.- Revitalized a new data & analytics team with morale, purpose, and productivity.- Through strategic expertise in people management, organizational leadership, data & tech strategy activated leaders to execute a profitable strategy.- Sponsored and led predictive analytics initiatives to increase revenue, capture new markets, mitigate fraud, and mitigate liability costs in Lending and P&C claims.- Reduced reputational risk and retention risk through identifying control gaps in people, process, technology, and data. - Led corporate performance initiatives to deliver and enable more than $5 million in recurring efficiency.

- Operated as a thought leader in analytics, data, and strategic consulting.- Hired and developed analytics talent and leadership.- Led a successful strategy and execution of analytics strategy in operations and claims.- Led predictive analytics projects to mitigate fraud, and mitigate liability costs in Lending and P&C claims.- Led corporate performance sub workstream to deliver ~$3million in recurring efficiency.- Optimized and modernized Quality Assurance, Speech Analytics, and Workforce Management functions.- Chaired enterprise analytics collaboration/connections in a decentralized enterprise analytics model to drive alignment, efficiency, and shared learning to increase value and productivity.

Led a team of analytics consultants, advanced analytics experts, and workforce management team to provide analytics and WFM service in Customer operations.Played a business owner role in Virtual Cognitive Agent Project. My scope was to select a strategic vendor whose product will optimally scale to become an enterprise cognitive agent solution.Effectively absorbed another visualization team into my existing analytics function with significant budget cuts.Created an agile analytics operating model, and executed it very successful with a strong engagement model, and career development opportunities for the team.Worked to create and facilitate a forum to bring the data and analytics leaders together in the enterprise to foster collaboration and alignment.Envisioned and created a 3 year analytics strategy to ochestrate business partner experience and analytics maturity with a focus on data education, experience, and ROI.

Led a team of 7 consultants and analyst to provide reporting solutions for customer operations.Led an initiative to transition reports from Excel to Tableau.Led the team to provide consulting and reporting solutions for critical enterprise projects.

As an Ops Consultant, I worked with business leaders to understand the business needs to create reporting roadmap and build pertinent reporting solutions.Provided business and process insights to the business partners to take actionable decisions.Completed a lean six sigma green belt project that reduced transfer calls for the enterprise.Coordinated with IT and recommend data models/structure/hierarchy for operational and reporting data warehouse projects.Used tools like SAS EG, Microsoft Management Studio, SAP Business Objects,Tableau and Excel in reports and dashboard creation.

Automate existing SAS EG project into more efficient codes/macros and process.Build various reports and perform data analysis for Operations and Metrics dept.Transition from an existing data source to SQL server.Document SAS codes and SQL codes and document reports.

• Write SAS code to import and analyze financial data from flat files using SAS/data steps.• Extract, analyze data from the DB2 server with AQT query tool.• Perform merge and purge process and create permanent datasets for further analysis using SAS/SQL procedure.• Communicate with the supervisor and the data migration team with regards to work stream and reports.• Export results for reporting and presentation purposes.• Document SAS/SQL codes and reports.

• Write SAS code using SAS/Base to import and analyze marketing data from flat files in the ORACLE server using SAS/data steps.• Perform merge and purge process and create permanent datasets for further analysis using SAS/SQL procedure.• Conduct statistical analysis that involves tests of correlation, co linearity then further regress to create models for insurance and travel industries.• Export SAS results (Proc TABULATE, Proc FREQ, Proc PRINT) through SAS/ODS to Microsoft Office for reporting and presentation purposes.• Document SAS codes and design reports.

• Suggest trading strategies for equity/equity derivative and thus increase the firm’s profitability.• Pick stocks based on fundamental analysis and news reports to trade client’s capital. • Create attribution to show Stock selection effect, Sector effect and Market exposure effect on the portfolio.

• Assisted customers on issues regarding bank accounts and debit cards • Help customers to file dispute cases on unidentified transactions

• Train associates in financial planning – Tax saving, Retirement plans, Educational plans• Recruit associates• Promote sales of financial products