Possess strong technical skills and better understanding in biological sciences, drug designing and delivery , pharmacological approach.
Passionate to work in Pharma industry and in clinical data domain through technologically driven healthcare innovations.
Handled 250 biomedical Equipment includes Lifesaving Equipment, ICU,OT,Surgical and Radiological Equipment.
Documentation of Preventive and periodic maintenance reports, Purchase order and invoice and service reports using SAP access.
Attended training of handling GE,Siemens , Fischer and Paykel, Drager life saving equipment from ventilators to Air V02 Machines.
Subject expertise in Biopharmaceutical Technology, Bio MEMS and Nanotechnology.
Assisted Diagnostic and Therapeutic Laboratory .
Event managing head- Organized 10 guest lectures and 2 hands-on Workshops from Helix,Bengaluru and CADD center.
Member of Innovation Club and Entrepreneurship Development Cell(EDC)
Headed as Project guide for the students and published paper on title, 3D printing of Bone and Cartilage scaffold using PLA.
Drug designing techniques-QSAR,autodock
undefinedPublished paper in IEEE DIGITAL EXPLORE,SCOPUS and SCI indexed in the domain of drug designing ,
Exploring Pain Insensitivity Inducing Gene ZFHX2 by using Deep Convolutional neural network. DOI: 10.1109/ICCMC.2019.8819666
DNA repair mutation detection using Deep learning strategy – A pharmacogenomic perspective.DOI: 10.1109/i-PACT44901.2019.8960113
Advance PG diploma in clinical data management and pharmacovigilance
Completed PG diploma course in Advanced Clinical Research includes Clinical Data Management, Pharmacovigilance, Medical writing and clinical trials.
Python programming
Clinical data analysis using SAS programming,Udemy
Advance PG diploma in clinical data management and pharmacovigilance