I'm a Physicist and a Computer Vision Enthusiast.
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Interactive-Semi-Automatic-Image-2D-Bounding-Box-Annotation-Tool-using-Multi-Template_Matching
January 1, 2021 – January 6, 2021
Interactive Semi Automatic Image 2D Bounding Box Annotation and Labelling Tool using Multi Template Matching An Interactive Semi Automatic Image 2D Bounding Box Annotation/Labelling Tool to aid the Annotater/User to rapidly create 2D Bounding Box Single Object Detection masks for large number of training images in a semi automatic manner in order to train an object detection deep neural network such as Mask R-CNN or U-Net. As the Annotater/User starts annotating/labelling by drawing a bounding box for a few number of images in the selected folder then the algorithm suggests bounding box predictions for the rest of the yet to be annotated/labelled images in the folder. If the predictions are right then the user/annotater can simply press the keyboard key 'y' which indicates that the detected bounding box is correct. If the prediction is wrong then the user/annotater can manually draw a rectangular 2D bounding box over the correct ROI (Region of interest) in the image and then press the
View ProjectLungs-Segmentation-from-Chest-X-Ray-CXR-images-using-U-Net
November 30, 2020 – November 30, 2020
Lungs Segmentation from Chest X-Ray (CXR) images using U-Net
View ProjectOptic-Disc-Segmentation-from-Retinal-Fundus-Images-using-U-Net
November 7, 2020 – November 28, 2020
The Optic Disc from Retinal Fundus Images were segmented using a U-Net Architecture which is a deep learning based neural network model primarily designed for biomedical image segmentation.
View Project3-D-Anaglyphs
October 24, 2020 – January 21, 2021
3-D Anaglyphs were created using a Novel Algorithm based on Cross-Correlation and Fourier Transform.
View Projectoptic-disc-detection-and-segmentation-from-retinal-fundus-images-using-logistic-regression
September 15, 2020 – September 15, 2020
optic disc detection and segmentation from retinal fundus images using logistic regression built from scratch using just numpy
View Projectmulticlass-neural-network-from-scratch-using-just-numpy-and-cv2-to-recognise-handwritten-digits
September 10, 2020 – September 10, 2020
multiclass-neural-network-from-scratch-using-just-numpy-and-cv2-to-recognise-handwritten-digits — GitHub repository
View Projectmulticlass-logistic-regression-from-scratch-to-recognize-handwritten-digits
September 6, 2020 – September 6, 2020
multiclass-logistic-regression-from-scratch-to-recognize-handwritten-digits — GitHub repository
View ProjectK-nearest-neighbour-from-scratch-using-numpy-math-statistics-in-python
August 28, 2020 – September 6, 2020
K-nearest-neighbour-from-scratch-using-numpy-math-statistics-in-python — GitHub repository
View Projectlinear-regression-with-gradient-descent-from-scratch-using-just-numpy-and-matplotlib
August 25, 2020 – August 25, 2020
linear-regression-with-gradient-descent-from-scratch-using-just-numpy-and-matplotlib — GitHub repository
View Project3D-surface-reconstruction
April 11, 2020 – January 21, 2021
An algorithm to reconstruct 3d surfaces from stereo 2d images using a novel brute force block matching algorithm written using python
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on academic/research-oriented machine learning and computer vision tasks. While demonstrating strong technical curiosity, there is no evidence of collaborative projects, experience in diverse industry applications, or exposure to MLOps/production environments, which might impact cultural fit in a team-oriented, product-driven data science role. The projects align well with the technical aspects of a Data Scientist role, but the lack of diversity in project types (all personal, research-focused) suggests a potentially narrow scope of experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong independent work ethic and a focus on technical implementation.