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Data Scientist at ML1.
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Machine Learning 1
Data Scientist
June 27, 2026 – Present
Potential--of-AI-based-diagnostic-grading-system-for-knee-osteoarthritis
October 22, 2025 – October 22, 2025
Potential--of-AI-based-diagnostic-grading-system-for-knee-osteoarthritis — GitHub repository
View ProjectBenchmarking-Domain-Adaptation-Techniques-for-Diseased-Cell-Detection-in-Microscopic-Images
January 15, 2025 – January 16, 2025
Benchmarking-Domain-Adaptation-Techniques-for-Diseased-Cell-Detection-in-Microscopic-Images — GitHub repository
View ProjectComputational-imaging-for-rapid-detection-of-grade-I-cerebral-small-vessel-disease-cSVD
June 18, 2024 – October 11, 2024
Computational-imaging-for-rapid-detection-of-grade-I-cerebral-small-vessel-disease-cSVD — GitHub repository
View ProjectADD-Net
August 28, 2022 – August 28, 2022
Alzheimer’s Disease (AD) is a neurological brain disorder marked by dementia and neurological dysfunction that affects memory, behavioral patterns, and reasoning. Alzheimer’s disease is an incurable disease that primarily affects people over the age of 40. Presently, Alzheimer’s disease is diagnosed through a manual evaluation of a patient’s MRI scan and neuro-psychological examinations. Deep Learning (DL), a type of Artificial Intelligence (AI), has pioneered new approaches to automate medical image diagnosis. The goal of this study is to create a reliable and efficient approach for classifying AD using MRI by applying the deep Convolutional Neural Network (CNN). In this paper, we propose a new CNN architecture for detecting AD with relatively few parameters and the proposed solution is ideal for training a smaller dataset. This proposed model successfully distinguishes the early stages of Alzheimer’s disease and shows class activation maps as a heat map on the brain. The proposed Alz
View ProjectWCE-Classification-by-handling-Imabalnce-problem-using-BLSMOTE
August 26, 2022 – August 31, 2022
WCE-Classification-by-handling-Imabalnce-problem-using-BLSMOTE — GitHub repository
View ProjectFoodDeliveryApp
September 29, 2021 – September 29, 2021
FoodDeliveryApp — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on AI/ML, particularly in medical imaging, which aligns with advanced technical roles. However, the project descriptions are often brief or link to GitHub repositories without detailed explanations, limiting the assessment of their collaborative contributions or problem-solving approaches. The diversity of project types (medical imaging, food delivery app) indicates a broad interest, but the depth of involvement in non-AI projects is unclear. The single listed work experience as 'Data Scientist' is current but lacks details on responsibilities or achievements.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.