Data scientist with a passion for extracting insights from complex datasets. Experienced in machine learning and computer vision.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
From-camera-to-cloud-end-to-end-face-recognition-system
June 5, 2025 – June 5, 2025
From-camera-to-cloud-end-to-end-face-recognition-system — GitHub repository
View ProjectAutism-Detection-using-Facial-Features
May 9, 2024 – June 24, 2024
Autism-Detection-using-Facial-Features — GitHub repository
View ProjectIR-to-RGB-Image-Translation
April 17, 2024 – May 22, 2024
IR-to-RGB-Image-Translation — GitHub repository
View ProjectWarped-Image-Generation
January 4, 2024 – January 6, 2024
Warped-Image-Generation — GitHub repository
View ProjectDYNCONV_CIFAR10-100-SVHN_Dataset
October 10, 2023 – November 7, 2023
DYNCONV_CIFAR10-100-SVHN_Dataset — GitHub repository
View ProjectFace-Anti-Spoofing-Pytorch
October 5, 2023 – November 27, 2023
Face anti-spoofing is a technique to detect and prevent presentation attacks on face recognition systems. Presentation attacks are attempts to deceive the system by presenting a fake face, such as a printed photo, a video replay, or a 3D mask, of a genuine user.
View ProjectPlant_Village_Dataset_TransferLearning
September 27, 2023 – Present
Transfer learning or fetching pretrained weights is one of the most utilizing way to train your model and classify the classes based on it. In this repository , transfer learning has been perfomed on different models in pytorch and calculated flops, parameters ,training time, best accuracy as well as testing accurcy.
View ProjectAutoencoder-Denoising-MNIST-dataset
August 25, 2023 – September 29, 2023
Autoencoder-Denoising-MNIST-dataset — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on computer vision and deep learning, which aligns well with a Data Scientist role specializing in these areas. However, the lack of diversity in project types (all personal, all Python, mostly image-related) and absence of team-based projects or professional experience limits the assessment of broader cultural fit and collaboration potential.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.