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Data scientist with a passion for extracting insights from complex datasets. Experienced in machine learning and computer vision.
AI is analyzing your overall score…
Identifying your key strengths…
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.