MCA Graduate with hands-on experience building machine learning models, recommendation systems, and backend applications.
I am a MCA Graduate with a strong interest in Machine Learning, Deep Learning, and backend development using Python and Flask. I enjoy working on real-world projects and building practical, data-driven solutions. I have internship experience in machine learning and full-stack development, along with hands-on exposure to model development, backend systems, and real-time problem solving.
Download ResumeDeep learning model that detects pneumonia from chest X-ray images. Built using CNN and deployed on cloud for prediction.
Machine learning system that recommends top 5 colleges based on rank, community, and historical cutoff data.
Flask-based application recommending similar songs using audio feature similarity.
Completed an internship in the Machine Learning domain, gaining practical exposure to data preprocessing, model development, and performance evaluation. Strengthened understanding of machine learning workflows and improved analytical, problem-solving, and technical skills through hands-on project experience.
Contributed to the development of an invoice management application by implementing core features such as invoice creation, data validation, automated calculations, backend logic, and debugging to improve system performance and reliability.
Developed a Flask-based music recommendation system that generates top-five similar song suggestions using audio feature similarity. Worked on preprocessing, feature extraction, similarity computation, testing, and deployment of the application.
Secured II Prize in a Paper Presentation Competition on Artificial Intelligence conducted by P.K.N. Arts and Science College, Madurai.
Secured II Prize in a Paper Presentation Competition on Deep Learning conducted by The American College, Madurai.
Served as the Club Leader of the AI & ML Club, organizing learning sessions and guiding members on machine learning concepts.
Completed the AWS AI Practitioner Challenge focusing on AI fundamentals and AWS AI/ML services.
Analyze Data using AI with PartyRock – applied AI tools to analyze data and generate actionable insights.
Worked on AI-powered credit risk analysis, predictive modeling, and responsible AI for collections strategy.
Built skills in NumPy, SciPy, Matplotlib, Pandas, and Python-based machine learning workflows.
Red Hat Certified System Administrator – Previously earned the Red Hat Certified System Administrator (RHCSA) certification, demonstrating proficiency in Linux system administration, user management, and system configuration..
First Class with Distinction – certified in professional English typing skills.
Email: aravindmurugesan0803@gmail.com
Phone: 9042478200
LinkedIn: View Profile
GitHub: View GitHub