PROFILE
Former QA Engineer with 3 years of experience in manual and automation testing and quality assurance process improvement. Currently focusing on building expertise in Data Science, with strong interest in machine learning and data analysis. Eager to apply analytical skills, contribute to a collaborative team, and grow as a Data Scientist in a dynamic environment.
Personal Project/s
Project Name :
Alzheimer-disease-Detection-using CNN Model
Description :
Developed a deep learning-based image classification model to detect Alzheimer’s disease from MRI brain images using CNN model. The project involves image preprocessing, normalization, model training, validation, and performance evaluation. Implemented using TensorFlow and Keras in Google Colab, the model classifies MRI scans into different stages of Alzheimer’s disease. Performance was analyzed using accuracy and loss visualization techniques. The results demonstrate the effectiveness of CNN-based approaches for medical image classification.
GitHub - dipika449/Alzheimer-disease-Detection-using-MobileNetv2-model-
Experience/s
Designation :
Software QA Engineer(Automation & Manual)
Description :
- Performed Selenium automation and manual testing on CRM applications
- Designed and executed test plans, test cases.
- Reported and tracked bugs using Mantis.
- I have worked on data scraping using Java and JSOUP.
- Performed Load & performance testing on Relaso CRM application using JMeter
EDUCATION
Master of Technology Computer Science & Engineering. |Guru Nanak Institute of Technology (CGPA: 8.08)
Bachelor of Technology Computer Science & Engineering. |Techno India University (CGPA: 7.76)