It is type of Bookkeeping App solution for individuals, and small to medium-sized businesses seeking to simplify their accounting and bookkeeping tasks. Users can manage bank accounts, vendors, and transactions with advanced filtering and categorization options, ensuring streamlined financial tracking. It bridges the gap between traditional manual record-keeping and modern digital efficiency, offering a smarter way to maintain financial clarity and control. With seamless collaboration tools for accountants and integrated compliance features, the app ensures that financial data is accurate, up-to-date, and ready for reporting and tax filing. The system also supports tax filing assistance, automated report generation, and graphical representations of income, expenses, and cash flow.

This project delivers an integrated AI and analytics platform for the Foundation for Sickle Cell Disease Research (FSCDR). It connects ECW (eClinicalWorks) EHR data with advanced AI-based predictive models to identify high-risk patients, automate follow-ups, and streamline state grant reporting (CMO99, CMOAE Tasks 5–13).
The goal is to transform static EHR data into actionable insights — improving research visibility, compliance, and patient outcomes while cutting down manual reporting workloads. The solution supports predictive ER-risk modeling, AI-based outreach automation, and Power BI-driven compliance dashboards across FSCDR’s Centers of Excellence.

This project focused on creating mapping reports to highlight geographic and linguistic disparities in OB/GYN service availability across Kansas. The objective was to provide visual evidence for healthcare researchers and policymakers to better understand provider distribution, identify underserved regions, and highlight language access barriers for Hispanic populations. The deliverables included static maps of provider clusters, Spanish-speaking access segmentation, and a custom symbolic visual to humanize the access challenge.