Engineer Medical

SNEHAL SALUNKE

***, * ******** ******, *******, NY-14214 • aczkse@r.postjobfree.com • 857-***-**** • LinkedIn: snehalsalunke Experienced biomedical engineer (3 years) with exposure to quality improvement, graduate researcher at SUNY Buffalo EDUCATION

Master of Science, Biomedical Engineering (GPA: 3.8/4) University at Buffalo, New York May 2017 Bachelor of Engineering, Biomedical Engineering (GPA: 3.5/4) University of Mumbai, India May 2011 TECHNICAL SKILLS

• Quality & Regulatory Tools: 5s, Continuous improvement, Risk Management, CAPA, SPC, Quality Audit, ISO 9001, ISO 13485, FDA, 21 CFR 820, JCAHO, Implement/set-up (SOPs), FMEA/ DMAIC/ Lean Six Sigma, QAPI

• Programming & Application Tools: MATLAB, Python, Minitab, Solidworks, Visio, SAP, Imagescope, Meshlab, ImageJ/Fiji, PACS

• Expertise in Data Analysis, Medical Imaging, Image Processing, 3D Modelling, Medical Device Troubleshooting & Maintenance CERTIFICATIONS

• Certified Six Sigma Green Belt- CSSGB, International Six Sigma Institute (License No-565***********) September 2016

• Certified Quality Engineer (CQE- American Society of Quality) May 2017 RESEARCH EXPERIENCE

University at Buffalo, NY, Graduate Research Assistant September 2015- Present

• Designed 3D micro vessel architecture from 2D digitized histopathology slides of trigone region.

• Developed methods & morphological features using MATLAB image processing algorithm.

• Introduced data driven subsampling approach for reconstruction of accurate 3D model & quantified maximum uncertainty.

• Applications: Drug Simulation, 3D Printing, Drug Delivery Development

• Publications & Conferences: (a) Women in STEM Summit, April 2016 (b) Annual Capstone Event, May 2016

(c) SPIE medical imaging conference, Feb 2017 (d) SUFU conference, March 2017 PROFESSIONAL EXPERIENCE

Hinduja Healthcare, India, Biomedical Engineer April 2014- March 2015

(OT, ICU, NICU, Radiology, Cathlab, Physiotherapy, Laboratory)

• Handled equipment installation, breakdown complaints, root cause analysis, CAPA & QAPI related activities.

• Developed calibration and preventive maintenance procedures for quality and life expectancy of equipment.

• Implemented continuous improvement activities by developing modifications & collaborating with manufacturer.

• Performed audits & updated quality standardizing procedures compliant with the accreditation like NABH, JCAHO.

• Provided training to technician and operators in terms of equipment’s usage.

• Reduced costs of service contracts by implementing a mix of in-house biomedical services and parts-only service agreements.

• Investigated non-conformances by applying DMAIC tool.

• Planned financial aspects, engineering responsibilities related to medical equipment and reviewed FDA, ISO 13485 regulations. Bhatia Hospital, India, Biomedical Engineer January 2013– October 2013

• Performed troubleshooting of equipment failure, incident investigations and root cause analysis for process improvement.

• Conducted FMEA, 5s activities and lean initiatives to improve equipment performance.

• Performed onsite maintenance duties for equipment related to Emergency unit, Cathlab, OT, CSSD, Radiology.

• Optimized standardizing procedures applicable for efficient operations to ensure regulatory compliance.

• Provided onsite assistance to the Doctors / Nursing Staff / Operators.

• Successfully handled responsibilities in hospital projects related to new medical equipment planning. Fortis Hospital, India, Biomedical Engineer Intern June 2012– December 2012

• Resolved equipment failures and maintained track records.

• Scheduled preventive maintenance protocol system, leaded to accomplish JCI audit successfully.

• Programmed for RFA system for liver reconstruction cases using Myrian & Implemented PAC System. ACADEMIC PROJECTS

• Supervised and Unsupervised Classification of Breast Cancer Data May- 2016 The purpose of project is the classification of breast tissue into two categories namely benign tissue and malignant tissue depending on different features like age, shape, margin and density. Supervised classification involved the use of Bayesian classifier. Gaussian mixture model was used to cluster the data in Unsupervised classification.

• Oppenheimer Effect Dec-2015

Authored a review paper on the 'Oppenheimer Effect' required as a part of Biomaterials course. The study focuses on cause and effect relation between development of cancer and the Bio materials in implants.

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