Virtual Science AI
Hsiang-Chuan Sha is a Data Engineer at Virtual Science AI, responsible for designing automated data pipelines for pharmacy clients. Prior to this, Sha worked as a Graduate Student Instructor at the University of California, Berkeley teaching data analytics and probability courses. Sha also has experience as a Machine Learning Engineer at BenQ Corporation, where they managed data pipelines and ETL jobs for business dashboards. Additionally, Sha has worked as a Data Analyst intern and at National Taiwan University and Academia Sinica handling complex data analysis tasks. Sha holds a Master's degree in Statistics from the University of California, Berkeley and a Master's degree in Political Science from National Taiwan University.
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Virtual Science AI
Virtual Science AI is reimagining how the Healthcare Industry generates external stakeholder insights. These insights are delivered via our unique and ground breaking artificial Intelligence platform, and are faster, clearer and more actionable. AI-driven analytics created through interactive data analysis, including sentiment analysis reports, ensure immediate actionable insights. The engagement of HCP's, patient experts, payers and other stakeholders provides end-to-end advisory services powered by our 24/7 engagement platform. Through asynchronized working, our clients determine key strategic insights that refine scientific and commercial messaging. The generation of these insights shapes the building of robust strategies that are co-created with HCP's, patients, payers and communities ensuring successful market dynamics and improving long-term patient care. The capitalisation of the company via Venture Capital and Health Tech funds is a reflection of the dynamic, exciting and innovative nature of our mission. Contact us now via our website, as we would love to demonstrate the significant benefits that our AI software platform will bring to your insight generation. http://www.virtualscienceai.com Take your insight generation to the next dimension