Aastha Goel
About Aastha Goel
Aastha Goel is a Detailed Downstream Planner at Bristol-Myers Squibb in Dublin, with extensive experience in the pharmaceutical and healthcare industries.
Current Title and Role
Aastha Goel is currently employed as a Detailed Downstream Planner at Bristol-Myers Squibb in Dublin, Leinster, Ireland. She has been working in this role since August 2017. In her role, Aastha develops detailed production schedules to support the manufacturing of biological drugs and ensures material availability by coordinating with supply chain, warehouse, and dispensary teams. Additionally, she collaborates with shift teams to ensure efficient and effective operations.
Professional Background
Prior to her current role, Aastha Goel worked at Abbott in various capacities. In 2016, she served as a Process Specialist for three months in Sligo. In 2015, she was a Manufacturing Intern for five months, also at Abbott. Earlier in her career, Aastha completed internships at Millmount Healthcare, where she worked as a Production Intern for three months in 2013 and as a Quality Assurance Intern for two months in 2012.
Educational Background
Aastha Goel has a diverse educational background. She earned a Master of Science in Project Management from University College Dublin, studying from 2019 to 2021. She also achieved a Master's degree in Biotechnology with Business from the same institution, studying from 2016 to 2017. Aastha completed her undergraduate education at Dublin City University, obtaining a degree in Biotechnology from 2012 to 2016. Prior to her university studies, she attended St'Olivers Community College in Drogheda, where she achieved her Leaving Certificate with CAO 530 points, from 2009 to 2012.
Professional Expertise
In her professional role, Aastha Goel is involved in planning and executing key manufacturing activities. She works with cross-functional teams to manage Dirty Hold Studies, Cleaning validation trials, Calibrations, Maintenance, and Column packing trials. Additionally, she tracks planned versus actual manufacturing time to identify potential bottlenecks and develop solutions, all of which contribute to efficient manufacturing processes.