Tatiana Sorokina

An experienced data science and digital transformation leader building enterprise advanced analytics solutions that drive business impact in healthcare and life science domain.

• Led end-to-end implementation of large data science initiatives across R&D, Operations, BD&L and Commercial functions in life science domain
• Proven track record in designing and managing data science product portfolio and collaborating with senior leadership across the organization to improve the topline growth and bring efficiencies to the business operation
• Deep expertise in linking innovation to key business priorities and identifying data-driven approaches to bring medicine to more patients while maintaining a robust pipeline of future business and data science opportunities
• Entrepreneurial background and excellent track record of moving data science products along the pipeline; from building a robust business case, to fundraising, to gaining adoption among customers to scaling products across multiple TAs, countries and use cases
• Background in Economics and Behavioral and Data science, with strong focus on merging science and business for organizational impact

Education

• Master of Science Columbia University - Columbia Business School (2011 — 2012)
• Bachelor of Science Lomonosov Moscow State University (MSU) (2007 — 2011)

Companies

• Instructor, Data Analytics BrainStation (2020)
• Solutions Director, Data Science & Artificial Intelligence Novartis (2019)
• Adjunct Professor, Applied Artificial Intelligence in Marketing Rutgers Business School (2019 — 2020)
• Associate Director, Advanced Analytics, US Oncology Novartis (2017 — 2019)
• Co-President & Co-Founder Parceed (2015 — 2017)
• Sr. Director, Data Science Prognos (2016 — 2016)
• Sr. Manager, Advanced Analytics & Insights Prognos (2014 — 2016)
• Manager, Advanced Analytics & Insights Prognos (2013 — 2014)
• Manager, Market Research Medivo, Inc (2012 — 2013)

Skills

The most important

• Strategy
• Analysis
• Data Science

Other

Artificial Neural Networks, Machine Learning, Healthcare Analytics, Artificial Intelligence, Tableau, Eviews, Analytics, SAS, SPSS, Excel, PowerPoint, R, Consumer Insights, Market Analysis, Market Research