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Data Science with 1+ years in ML, DL, NLP & Django.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science and Python Full-Stack Developer with hands-on experience in Machine Learning, Deep Learning, Natural Language Processing (NLP) and data analysis. Skilled in building and evaluating ML and DL models, data preprocessing, feature engineering, and developing AI-driven applications using Python, Django, and FastAPI.
SCMS School of Engineering and Technology (SSET)
Master of Computer Applications (MCA) · Computer Applications
August 1, 2024 – June 30, 2026
College of Applied Science (CAS)
B.Sc Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Luminar Technolab
Data Science Intern
July 1, 2023 – March 1, 2024
Cochin, Kerala, India
Inmakes Infotech Pvt Ltd
Python - Django Full-Stack Intern
August 1, 2022 – February 1, 2023
Cochin, Kerala, India
AI-Based Stress Detection and Counselling System
December 1, 2025 – March 1, 2026
Developed a multimodal AI system for mental health counselling using text, facial emotion, voice, and behaviour analysis. Implemented NLP-based counselling chatbot and CNN models for facial emotion and voice stress detection. Applied supervised machine learning to analyse behavioural patterns and predict stress risk levels. Combined multi-source analysis to generate stress severity scores and personalized recommendations.
Hostel Management System
August 1, 2025 – October 1, 2025
Developed a full-stack hostel management system using Django for student and warden operations. Implemented attendance tracking, leave requests, complaints, and room cleaning workflows. Automated hostel and mess fee calculation with notifications and admin approvals.
Doctor Appointment Web Application
December 1, 2022 – March 1, 2023
Developed a full-stack web application for managing doctor appointment booking and scheduling. Implemented real-time data storage and authentication using Firebase. Built responsive user interfaces using React.js for patients and administrators. Integrated backend logic to handle appointment creation, updates, and availability management.
Cultural Fit Analysis
The candidate's project diversity, including AI-based systems and full-stack web applications, indicates a broad interest and adaptability. The target role of 'Data Science' aligns well with the candidate's recent internship and academic project focus. The blend of data science and full-stack skills suggests a candidate who could contribute to end-to-end solutions, which is a positive for cultural fit in a dynamic environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach through diverse academic projects and internships. The descriptions indicate an ability to work on real-world problems and collaborate on development tasks. However, without specific psychometric or English test results, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.