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Assessing your cultural and operational fit
End-to-End-Tri-Modal-Deep-Learning-for-Cognitive-Load
January 15, 2026 – Present
Multimodal deep learning for cognitive load estimation using EEG, physiology, and gaze (CLARE dataset)
View ProjectPhishing-Detection-using-ML
November 15, 2025 – November 15, 2025
Phishing-Detection-using-ML — GitHub repository
View Projectconfusion-detection-from-EEG-signals-ML
August 24, 2025 – August 24, 2025
To develop and evaluate Transformer-based deep learning models for confusion detection from EEG signals, leveraging self-attention mechanisms to capture long-term temporal dependencies and dynamically highlight the most significant EEG features.
View ProjectCredit-Card-Fraud-Detection
April 18, 2025 – April 18, 2025
Credit-Card-Fraud-Detection — GitHub repository
View ProjectFaculty_advauntium1
September 2, 2024 – September 2, 2024
Faculty_advauntium1 — GitHub repository
View ProjectArtFlow
January 22, 2024 – January 23, 2024
A innovative Art Gallery Management System using Java Swing for a visually appealing user interface and MySQL for robust data management. This system aims to streamline the organization and presentation of artworks within an art gallery, providing both administrators and visitors with a seamless and immersive experience.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the diversity of projects also includes web development (HTML, CSS, JavaScript, TypeScript) and Java-based applications, suggesting a broad interest rather than a focused specialization. The lack of professional experience or detailed project descriptions makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Project descriptions are brief, and no psychometric or English test scores are available.