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TicketBookingManagementAppApplication
February 15, 2018 – February 15, 2018
TicketBookingManagementAppApplication — GitHub repository
View ProjectuserManagementApp
February 15, 2018 – February 15, 2018
userManagementApp — GitHub repository
View ProjectAngular4-Springboot-app
January 5, 2018 – January 23, 2018
Angular4-Springboot-app — GitHub repository
View ProjectMedical-Image-Classification-using-deep-learning
December 18, 2017 – December 18, 2017
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for A
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, including machine learning, backend Java development, and frontend work. While this breadth indicates adaptability, the projects are predominantly personal and lack detailed descriptions of collaborative efforts or team roles. The target role is 'Frontend Developer', and while there are frontend technologies listed in projects like 'Dhruv' and 'TodoListReact', the overall project focus is quite broad, which might require a more focused alignment for a dedicated frontend role. The lack of professional experience makes it difficult to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.