Predictive data scientist and business intelligence program manager. Expert in biopharmaceutical control strategy and process statistics; data warehouse design and implementation; pharma site commissioning and full validation services; building programs compliant in lifecycle process validation and continuous process verification. Leads compliance and continuous improvement in small molecule and biopharmaceutical manufacturing governed by FDA and EU regulations. Proficient in descriptive, inferential, and predictive analytics using SAS, JMP, R, and SIMCA. Agile/Scrum, CRISP-DM, and PMBOK waterfall methodologies for project/program management. Employs data-driven modern drug development via quality by design, and continuous improvement.

The Pop in my Job:

I really enjoy helping people discover new ways to simplify their lives in Operations, solve their problems, and learn something new.  I love using data science to bring new understanding to old problems.

Boehringer Ingelheim is working on breakthrough therapies that transform lives, today and for generations to come. As a leading research-driven biopharmaceutical company, the company creates value through innovation in areas of high unmet medical need. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective. More than 52,000 employees serve over 130 markets in the three business areas, Human Pharma, Animal Health, and Biopharmaceutical Contract Manufacturing.