• Provide BI analytics of the company’s flagship project aiming to build and implement a company-wide AI solution.• Collaborate with business leaders and executives to design new analytical reports and dashboards.• Provide end-user support across the full Business Intelligence platform.• Develop multiple self-service analytics using Domo and other BI tools that automate data-driven decision-making.• Run advanced queries and ETL processes that feed into self-service analytics dashboards in Domo.• Develop advanced metrics to evaluate the project performance and overall gains by implementing AI.• Build necessary machine learning models to provide predictive analytics to current dashboards/analysis.• Supported Allied Universal’s acquisition of G4S through BI analytics.

• Led the departmental transformation to advanced data analytics using an array of tools.• Led process improvement and reports automation• Collaborated with other departments and stakeholders to identify business problems and translate them into compelling structured analytics that leads to data-driven decision making.• Geocoded and mapped providers and members using Tableau. Created a one-stop-shop master provider repository.• Leveraged detailed knowledge of performance data warehouse & query tuning techniques to improve performance and speed.• Worked closely with the data engineering team to lead the design and development of OLAP tables in aggregated structure to optimize performance for big data analytics.• Promoted & supported departmental efforts for data governance & collaborate in implementing best practices.• Documented tasks using Jira.• Performed a multi-factor and quantitative predictive analysis to assess network ability to absorb potential membership influx due to COVID-19. • Performed regulatory reporting including Annual Network Certification analysis.• Ran end to end processes to transform raw data into storytelling analytics. Starting from data mining and extraction from scattered sources, data wrangling, data modeling, and analysis, then data visualization. Evaluate the results to produce recommendations and insights that helped shape business decisions.

• Applied data modeling methods & data analysis to convert raw data into a script file that the system runs daily. The process include ETL processes to ensure that the data is in a valid script format.• Ran end-to-end analytics processes to identify current or potential issues that need to be resolved. This includes data extraction using SQL queries, data wrangling, modeling, analysis.• Developed an intradepartmental MS Access database to eliminate Excel file handoffs.• Joined the e360 workgroup, to identify, research, & reconfigure providers with payment issues.• Worked as SME in the CSP+ project (enterprise transition to QNXT).• Ensured QNXT is configured correctly to clear any edits that hinder claims processing.• Developed Job Aids as needed.• Maintained a radar list to exclude providers from going through the daily script process.

• Developed the weekly departmental performance analytics dashboard that was presented to the leadership. This included running queries to collect, transform, and clean then analyze the data.• Ran ad-hoc SQL reports.• Developed workflows using Visio.• Performed provider analytics to ensure timely processing of claims payment in QNXT.• Monitored & evaluated movements of providers across all Participating Groups.• Worked with Provider Relations to maintain up-to-date provider Database ensure integrity to generate accurate Provider Directories for LA Care’s various LOBs.• Worked on transforming LA Care’s direct network from a concept to reality:▪ Ensured that the system can support the Direct network & can process DN claims.▪ Worked closely with IT to develop the necessary system enhancements.▪ Wrote the necessary BRDs and acquired management approvals.▪ Architected providers structure in the system to support new provider types.• Involved in process and operation improvement group to develop a future state process.

• Researched and issued daily & weekly technical (charting) analysis reports, which included collecting, wrangling, and modeling the data, visualizing the data, identifying and analyzing patterns and other multiple variables, and translating the results into market predictions. • Researched the U.S. stock markets, Oil & gold markets as a member of the Global Equity and Commodity Research team. • Restructured client’s portfolios to maximize returns and minimize risk.