About
Artificial Intelligence and Data Science undergraduate with hands-on experience in machine learning, computer vision, data analytics, and predictive modeling. Has built end-to-end AI solutions using Python, TensorFlow, Scikit-learn, Flask, and Oracle Cloud.
Experience
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AI & Machine Learning InternPluto AcademyJun 2026 – Jul 2026
Performed data cleaning, exploratory data analysis (EDA), and data visualization using Python, Pandas, and NumPy. Developed and evaluated machine learning models using Scikit-learn, applying advanced feature engineering techniques to improve accuracy. Built and delivered two end-to-end AI/ML projects focused on predictive modeling and performance evaluation. Collaborated on remote development workflows using Google Colab and GitHub for version control.
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Web Development Intern (Virtual)CODSOFTJan 2026 – Jan 2026
Developed a responsive personal portfolio website utilizing HTML, CSS, and JavaScript. Built an e-commerce web application featuring dynamic product listings and a mobile-responsive design. Designed and implemented an interactive calculator web application using advanced JavaScript functionality.
Education
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2027
B.E. in Artificial Intelligence & Data ScienceAJ Institute of Engineering and TechnologyArtificial Intelligence and Data Science · 2023 – 2027
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2023
Pre-University Course (PUC) - Science (PCMB)Sri Rama PU CollegeScience (PCMB) · 2021 – 2023
Skills
Tools / apps / platforms
Languages
Projects
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Diabetes Prediction AI Web AppPython, Scikit-learn, Flask
Programmed a machine learning model for diabetes risk assessment using Python, Pandas, and Scikit-learn. Deployed the final model as a full-stack, Flask-based web application to handle real-time user predictions.
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Deepfake Detection SystemOpenCV, Deep Learning, CNNs
Engineered a computer vision system capable of identifying manipulated media using OpenCV. Trained and evaluated Convolutional Neural Networks (CNNs) for precise image analysis and deepfake classification.
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IP Threat Intelligence SystemPython, Cybersecurity Analytics, Automation
Analyzed network IP addresses to identify malicious activities using threat intelligence indicators. Automated risk classification workflows and generated streamlined cybersecurity reporting processes.
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Satellite-Based Flood Prediction SystemPython, Predictive Modeling, Data Analysis
Developed a predictive model to identify flood-prone geographical regions utilizing satellite data. Performed comprehensive data analysis and risk assessments to support disaster management initiatives.