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Assessing your cultural and operational fit
speech-recognition-federated
April 2, 2026 – Present
Emotion Recognition from Speech using Stacked LSTM, Multi-Head Attention, and Federated Learning for privacy-preserving, real-time emotion prediction from audio signals.
View ProjectIdea-Sprint-3.0
March 11, 2026 – Present
Full-stack hackathon management platform with role-based dashboards for members, SPOCs, and admins, supporting registrations, attendance, workflows, reporting, and event operations using Next.js, TypeScript, and Supabase.
View Projectmdc-attendance-portal
September 23, 2025 – Present
Attendance management system with member dashboards, meeting scheduling, and participation analytics.
View ProjectPolicy_Query_Parser
August 5, 2025 – August 14, 2025
Policy_Query_Parser — GitHub repository
View ProjectEmployee-Salary-Prediction
July 21, 2025 – July 21, 2025
Employee-Salary-Prediction — GitHub repository
View ProjectCarbon-Emission-Prediction-Edunet
June 18, 2025 – July 1, 2025
Carbon-Emission-Prediction-Edunet — GitHub repository
View ProjectHotel-Booking-Classification-ML-Ensemble
May 27, 2025 – May 27, 2025
Machine learning project on hotel booking data featuring binary and multi-class classification using base and ensemble models (Bagging, Boosting, Stacking). Includes full preprocessing, model comparison, and performance evaluation.
View ProjectMulticlass-Animal-Recognition
May 26, 2025 – Present
A deep learning-based multi-class animal recognition system using CNN and Streamlit. Upload an image and get accurate predictions with confidence scores.
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely composed of personal projects, which suggests self-motivation and initiative. However, the lack of team-based or professional experience makes it difficult to assess collaboration or adaptability within a team culture. The projects are diverse in application (voter portal, attendance, emotion recognition, animal recognition, salary prediction, carbon emission, hotel booking), indicating a broad interest, but also a potential lack of deep focus in one area. The target role is 'Data Scientist', and many projects align with this, showing a clear interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects.