Shreya Sarkar

Designed business strategy to integrate AI model for auto adjudication of claims, aligned bots to process 30% claims. Scoped SDLC for API application to manage TPA transactions, promoting hassle-free approvals within 5-7 minutes. Established SDLC for claims processing across 3 processing environment, empowering operations for settlements. Optimized process for gathering business requirements to reduce project development time by 30%, eliminating post deployment tickets by 45%. Suggested technical enhancements in ongoing developments, fast tracking delivery for 15% of deployments. Designed wireframes and business requirements (PRD/FSD/BRD) for 20+ process flows with AI. Built & incorporated 5+ data analysis dashboards within the team for informed decision-making. Assisted teams with regular data insights & trends & lead extensive AB testing ensuring high-quality deliverables. Handled data governance activities to facilitate auditor’s queries, ensuring data compliance and quality. Collaborated with cross-functional teams to identify process improvements & drive operational effectiveness.

Successfully managed 6 SAAS projects, utilizing agile methodology for efficient execution. Effectively communicated & collaborated with clients, developers, and stakeholders to ensure project delivery. Built HRMS platform to manage daily human resources activities for high efficiency and operational tracking. Assisted PMO’s with enhancements in executing various projects, ensuring adherence to project timelines. Monitored project budget expenses (4), prepared technical documents (7), & reports for operational purposes.

Analyzed buying patterns, market shares, and key players in UAE's In-Vitro diagnostic market. Assessed the impact of COVID-19 on the market, identifying key drivers and trends.

Used strong analytical skills and attention to detail to conduct exhaustive assessments of pharmaceuticals. Performed exhaustive pharmaceutical market study for valuable insights to stay ahead of ever-evolving drug trends. Curated and managed customized drug portfolios and crafted tailor-made solutions for clienteles. Scrutinized 100+ drug candidates spanning a myriad of diagnoses, alongside dissecting 50+ SEC filings. Transformed raw data into powerful, actionable business intelligence reports.

Developed text mining pipeline from a publicly available literature database. Gained expertise in unsupervised machine learning for data mining strategies.