Data science enthusiasm
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FAKE-REVIEW-DETECTION
December 11, 2025 – December 11, 2025
Fake Review Detection with Emotion Aware RoBERT Model
View Projecttext-to-hand-gesture
December 11, 2025 – December 12, 2025
Communication between hearing and hearing-impaired individuals often faces significant barriers due to the lack of a common language interface. This project proposes a deep learning-based Text-to-Sign Language Animation System that automatically converts written text into corresponding sign .
View Projectfreelancer-assignment
December 11, 2025 – December 12, 2025
assigning jobs to the freelancer using CPM method
View ProjectEEG-Based-Schizophrenia-Detection-using-CycleGAN-Augmented-Scalograms
December 11, 2025 – December 11, 2025
BuiltdeeplearningpipelineforEEG-basedmentalhealthdetectionusingCycleGANaugmentationandVisionTransformer/DenseNet architectures.
View ProjectFreelancers-assignment-and-CPM-scheduler
December 10, 2025 – December 13, 2025
Freelancers-assignment-and-CPM-scheduler — GitHub repository
View Projectfakereview-detection
December 10, 2025 – December 12, 2025
fakereview-detection — GitHub repository
View Projectadaptive-sulptcv
December 10, 2025 – December 11, 2025
Built an adaptive resume optimizer using NLP and transformer-based models to align resumes with job descriptions for ATS screening. Integrated keyword extraction, semantic similarity scoring, and AI-generated recommendations
View ProjectRealestate
December 10, 2025 – December 10, 2025
Developed a full-stack Rental House Management System enabling efficient property listing, tenant management, and allowing users to quickly locate rental properties based on location and other criteria
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on deep learning and NLP, which aligns with a Data Scientist role. However, the lack of team-based projects or diverse technology stacks beyond Jupyter Notebook and Python might indicate a preference for individual contributions or a narrower exposure to collaborative development environments. The 'Realestate' project using PHP, CSS, JavaScript shows some breadth outside core data science, but it's an outlier.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to work on complex technical problems independently.