Loading portfolio…
Machine Learning Intern
Innovating Tomorrow, Today
A motivated and adaptable individual eager to learn and contribute to a dynamic organization. Seeking opportunities to apply skills effectively, grow professionally, and add value through meaningful contributions.
Creative & Professional
Researched and implemented 3+ machine learning models (e.g., Random Forest, SVM) using Python (Scikit-learn, Pandas), achieving 85%+ accuracy in classification tasks.
Optimized dataset preprocessing pipelines, reducing feature engineering time by 30% through automation scripts.
Contributed to an end-to-end ML project lifecycle: from data cleaning and EDA to model deployment, enhancing reproducibility with Jupyter Notebooks and Git version control.
Contributed to 2 projects, focusing on backend logic for customer data management, Improved database performance by indexing tables, cutting report generation time by 20%.
Strengthened understanding of modular code structure, improving readability and reusability across projects.
Participated in Agile sprints in order to deliver features(i.e.,build dashboards and report generation), following code reviews consistently for a team of 5 developers.
Built an AI-driven chatbot for centralized placement assistance using Retrieval-Augmented Generation (RAG) with Llama 3 and Pinecone for vector retrieval, developed a mobile application using Flutter, enabling students to access structured company insights and placement details.
Built a machine learning system that classifies five emotions from 10-second speech segments using SVM. Integrated noise cancellation and fake voice detection for improved accuracy, with a Flask-based interface for real-time analysis.
Developed a full-stack project for posting short blogs to enhance user interaction through a simple, easy-to-use interface. Built using JSP, Java, and SQL, the platform allows users to register, create, and view blogs. Designed with a streamlined structure focused on usability.
B V Raju Institute of Technology