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A-Unified-Approach-for-Multimodal-Emotion-Recognition-Using-Counterfactual-Learning
June 4, 2025 – Present
This repository contains the official implementation of "A Unified Approach for Multimodal Emotion Recognition Using Counterfactual Learning", a novel framework designed to enhance multimodal emotion recognition through advanced sequential modeling and structured counterfactual learning.
View ProjectDINO-Pedestrian-Detection
October 28, 2024 – October 29, 2024
DINO-Pedestrian-Detection — GitHub repository
View ProjectHealth-Insights-Dashboard-Predictive-Analysis-Visualization
October 9, 2024 – October 9, 2024
Health-Insights-Dashboard-Predictive-Analysis-Visualization — GitHub repository
View ProjectQuantitative-Trading-Strategy-Simulator
October 9, 2024 – Present
Quantitative-Trading-Strategy-Simulator — GitHub repository
View ProjectGPT-2-124M-from-Scratch
October 9, 2024 – November 27, 2025
GPT-2-124M-from-Scratch — GitHub repository
View ProjectCV-Intern-Assignment-Statement
September 24, 2024 – September 27, 2024
CV-Intern-Assignment-Statement — GitHub repository
View ProjectEmotional-analysis-neural-net
September 9, 2024 – November 16, 2024
Emotional-analysis-neural-net — GitHub repository
View ProjectMultimodal-Emotion-Analysis-Using-Attention-Based-Neural-Networks
August 27, 2024 – October 11, 2024
Implementation of a novel multimodal emotion analysis architecture using attention-based neural networks. Leverages audio, text, and visual features from MELD dataset for robust emotion recognition in conversations. Achieves state-of-the-art performance.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, research-oriented AI/ML projects, which aligns with a strong drive for technical exploration. However, the lack of team-based projects or diverse industry applications makes it difficult to fully assess cultural fit, especially regarding collaboration and adaptability to different project types. The projects are highly relevant to a Data Scientist role, particularly one with a research or advanced ML focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus, but there is no information regarding teamwork, communication, or problem-solving in a collaborative environment.