B.Tech undergraduate in Artificial Intelligence and Data Science with hands-on experience across end-to-end machine learning projects spanning deep learning, NLP, and Python-based data analysis. Known for analytical thinking and practical exposure to real-time streams.
Neovent Innovations, Kannur
Completed a 4-week ML internship covering data preprocessing, model development, model evaluation, and practical applications of AI techniques within a structured ML pipeline.
Applied supervised learning workflows on real-world datasets, covering data cleaning, feature engineering, model training, and performance evaluation using Python.
Collaborated with the team on documentation and testing of ML workflows, strengthening proficiency in dataset handling and Python-based predictive analytics.
AI-powered motor health monitoring using LSTM Autoencoder for real-time anomaly detection across 3 multi-sensor time-series streams (MPU6050).
Built real-time dashboards using Flask and Streamlit for reconstruction error visualization, live sensor data tracking, and predictive maintenance alerts.
Integrated Arduino-based LED alert system and tested/validated against live sensor streams for real-time performance monitoring.
End-to-end NLP pipeline to classify tweet sentiment across 2 categories (positive/negative), covering text preprocessing, TF-IDF feature extraction, model training, and evaluation.
Implemented SVM-based classification model and deployed an interactive Streamlit web application delivering real-time sentiment predictions on unseen text data.
Vimal Jyothi Engineering College, Chemperi, Kannur, Kerala
Chembilode Higher Secondary School
Chembilode Higher Secondary School
Introduction to Machine Learning
Artificial Intelligence Fundamentals — IBM SkillsBuild
Python Fundamentals
Solutions Architecture Job Simulation
Machine Learning Internship Certificate