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Data Science with less than a year in Natural Language Processing with 0.8 Years in Machine Learning
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MCA graduate specializing in Natural Language Processing (NLP) with skills in Python, SQL, Machine Learning, and Data Analysis. Experienced in developing AI-powered and full-stack applications using modern technologies. Passionate about solving real-world problems and contributing to organizational growth through continuous learning and innovation.
Marian College Kuttikkanam (Autonomous)
Master of Computer Applications · Natural Language Processing (NLP)
August 1, 2024 – June 30, 2026
MES College Nedumkandam
Bachelor of Computer Applications · Computer Applications
August 1, 2020 – June 30, 2023
INFOCRITA PVT. LTD.
Data Analyst
December 1, 2025 – February 28, 2026
India
CODECRAFT
Machine Learning Intern
November 1, 2025 – December 31, 2025
India
TRUSTAID
January 1, 2026 – June 1, 2026
Developed a full-stack web application using React.js, Node.js, and MongoDB. Integrated AI-powered assistance to provide intelligent recommendations and user support. Designed REST APIs and implemented secure database connectivity for efficient data management.
MAGICTALES
January 1, 2025 – December 31, 2025
Developed an AI-based Speech Emotion Recognition system using Python and Deep Learning. Extracted MFCC audio features and performed emotion classification using deep learning techniques. Generated personalized stories using Natural Language Processing based on detected emotions.
GLOWMETER Skin Consultation System
January 1, 2025 – December 31, 2025
Developed an AI-powered skin consultation platform using Python and Django. Applied image analysis and machine learning techniques for skin condition assessment. Generated personalized skincare recommendations based on prediction results.
Python for Data Science
NPTEL Swayam
June 1, 2026 – Present
Data Analysis Using Python
IBM
June 1, 2026 – Present
Data Science Foundations
IBM
June 1, 2026 – Present
Predictive Modeling Fundamentals 1
IBM
June 1, 2026 – Present
Introduction to Machine Learning
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI/ML to real-world problems, which aligns with an innovative and problem-solving culture. The diversity of projects (skin consultation, speech emotion recognition, full-stack web app with AI) shows a broad curiosity and willingness to explore different domains. The internship experiences, though short, indicate a proactive approach to gaining practical skills. The target role of Data Science is well-aligned with the candidate's educational specialization and project work.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, teamwork, communication, analytical thinking, and adaptability as soft skills. These are crucial for a Data Scientist role, indicating a good operational fit for collaborative and analytical environments. The project descriptions suggest an ability to work on diverse tasks and integrate different technologies.