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Final-year B.Tech IT @ VSSUT Burla | Computer Vision & ML Research | Former Intern at C-DOT (GoI) | Seeking MS by Research / PhD
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ubuntu-Screensaver
June 8, 2026 – Present
It is a screen saver for Ubuntu, so ur screen is not locked and your downloads won't stuck also if you won't get LED burns.
View Projectsugarcane-disease-detection-deep-feature-fusion
June 1, 2026 – Present
Hybrid deep learning pipeline: MobileNetV2 embeddings + GLCM/HSV features → XGBoost classifier. 92.36% accuracy across 12 sugarcane disease classes on 12,000 images.
View ProjectDelhivery-Performance-Dashboard
March 26, 2025 – Present
Analyzed Delhivery's logistics performance using a Kaggle dataset. Built a Power BI dashboard to identify inefficiencies, revealing a 21.34 vs. 2.19-minute trip time gap.
View ProjectCustomer-Feedback-Analysis
March 18, 2025 – Present
This project uses RNNs to analyze Amazon reviews and classify sentiment as positive, negative, or neutral. It includes data preprocessing, word embeddings, model training, and evaluation. The insights help businesses understand customer opinions, improve products, and enhance user experience based on feedback trends..
View Projectauto-scroll-youtube-shorts
June 21, 2024 – June 21, 2024
Automatically scrolls to the next YouTube Short when the current one ends. Enhance your viewing experience with seamless, hands-free video transitions. Too much convenient for watching shorts while Eating🍲🥘🍚. You won't love touching your Laptop with nasty hands.
View ProjectTest-repo
December 28, 2023 – March 28, 2025
This is a temporary repository for testing purpose
View ProjectSip-Calculator
December 28, 2023 – May 31, 2024
This SIP Calculator Python project is a financial tool designed to simplify the calculation of returns on Systematic Investment Plans (SIPs) in mutual funds. Systematic Investment Plan is a popular investment strategy where an investor regularly contributes a fixed amount at predefined intervals into a mutual fund.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science, machine learning, and general programming. The diversity of projects (from screensavers to deep learning models) suggests a curious and self-driven individual. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team environment. The target role 'Data Scientist' aligns well with several of the candidate's more substantial projects.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate a problem-solving mindset and initiative.