I have around 15 years of experience in patient-level data analytics focused on researching health outcomes. Specifically, that includes data extraction, data manipulation, data mining, data analysis and reporting. During past 15 years I had been working with various Pharma companies, where my main responsibility was to plan and execute data analysis for outcome studies. I earned MS (Applied Pharmaceutical Sciences) from University of Rhode Island, in addition to Bachelor of Chemical Engineering (MNIT, India). My masters thesis involved calculating Medication adherence for Diabetic Patients using claims data. This experience sparked my interest in improving medication adherence, especially after realizing its suboptimal levels across various diseases. Inspired by this, I founded sAdherence. Given my extensive background in data analytics, I understand the dynamics, processing and requirements of data centers. I can apply data analytics and modeling to support LAES system simulation, performance evaluation, and operational optimization. I will be instrumental in generating data-driven insights for system design, pilot performance monitoring, and technology scaling.