Misna C
*******@*****.***
Education
• B.E. in AIML Engineering Graduated: 2025
Yenepoya Institute of Technology, CGPA: 7.9
• Senior Secondary, DHSE 2021
Percentage: 87%
• Secondary, Kerala Board of Public Examination 2019 Percentage: 96%
Experience
• Data Science & Analytics Intern Zidio Development, Mar 2025 – May 2025 Integrated BERT, Whisper, and FER models for real-time emotion detection. Created dashboards for HR alerts and mood tracking.
• Data Engineering Intern NSDC (National Skill Development Corporation) Gained hands-on experience in data migration, data analysis, and Power BI. Worked with large datasets to improve data-driven decision-making.
• Industrial Intern TORC INFOTECH, Oct 2023 - Nov 2023 Developed AI-powered e-commerce and news platforms. Utilized AI for product recommendations, personalized ex- periences, and sentiment analysis.
• Academic Intern GENESIS, Oct 2022 - Nov 2022
Developed two mobile applications. Mastered Android Studio, Java/Kotlin, and app lifecycle. Improved UI/UX design and deployment skills.
Projects
• AI-Powered Task Optimizer Feb 2025 – Apr 2025
Flask platform detecting emotion via BERT, FER, Whisper. Logs stored in SQLite. Dashboard shows task suggestions, mood trends, and HR alerts.
• Multiple Disease Prediction System Using Machine Learning 2024-2025 Developed a machine learning system for early disease prediction using Random Forest, SVM, and Logistic Regression. Improved healthcare decision-making by accurately identifying diseases like diabetes, heart disease, and kidney disease.
• Plant Disease Detection Using CNN Apr 2024 - Aug 2024 Developed a robust Plant Disease Detection system using Convolutional Neural Networks (CNN) to accurately identify and classify plant diseases from leaf images, enhancing agricultural efficiency and crop management.
• Hospital Management System Jan 2024 - May 2024
Developed a comprehensive Hospital Management System to optimize patient care, streamline administrative pro- cesses, and enhance the efficiency of hospital operations, including patient records, scheduling, billing, and resource management.
Skills
• Programming Languages: Python, C, HTML, CSS, SQL, Java, JavaScript, R, PHP
• Machine Learning: AI, Data Science, Deep Learning, TensorFlow, PyTorch, Scikit-learn, OpenCV, NLP,
• Non-Technical: Leadership, Communication, Product Management, Presentation Skills Languages
• English: Fluent
• Malayalam: Native
• Hindi: Intermediate
• Kannada: Beginner
• Tamil: Beginner
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