About
Computer Science undergraduate with hands-on experience in Python, Machine Learning, Deep Learning, and Generative AI through applied internships and project work. Builds predictive and GenAI-powered applications with a focus on preprocessing, feature engineering, model evaluation, and end-to-end implementation.
Experience
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AI/ML & Generative AI InternCampUs GrowApr 2026 – Jul 2026
Built and evaluated machine learning models for prediction tasks, iterating on modeling approach based on performance metrics. Performed data preprocessing, feature engineering, and model evaluation to improve prediction accuracy. Applied Python, Pandas, and Scikit-learn alongside Generative AI concepts to support applied AI/ML workflows.
Education
- 2026
Skills
Tools / apps / platforms
Projects
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House Price PredictionPython, Pandas, NumPy, Scikit-learn
Machine learning model for house price prediction using data preprocessing and feature engineering. Trained and evaluated regression models to identify key property factors and improve prediction accuracy.
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NeuralPrep.aiLLMs, REST APIs, database integration
AI-powered interview preparation platform that generates questions and provides automated feedback. Built full-stack frontend and backend with testing across authentication, APIs, database, and AI workflows.
Courses & certifications
- Web Development · SAK Informatics
- Python with Machine Learning, Deep Learning & Generative AI · Shyam Technology