About
Highly motivated final-year BCA student with hands-on experience in Python development, machine learning, and full-stack web application projects. Proven ability to develop user-friendly web applications and build robust machine learning models using scikit-learn, demonstrated through projects like an AI-powered image generator and a ride-hailing demand forecasting system. Eager to leverage strong technical skills and problem-solving abilities in an entry-level software or web development role .
Work
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Summary
As an AI/ML Intern, developed and implemented AI-powered image generation and machine learning models, enhancing user experience and demonstrating expertise in Python development.
Highlights
Received Best Intern Award , recognizing outstanding performance and dedication.
Developed an AI-powered image generator using Stable Diffusion, enabling high-quality image creation from text prompts.
Constructed a linear regression model in Python using scikit-learn to analyze advertising budget against mobile sales, interpreting Mean Squared Error (MSE) and Mean Absolute Error (MAE) for model accuracy.
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Summary
As a Software Intern, built a strong foundation in Data Structures and Algorithms to solve real-world problems .
Highlights
Developed a strong foundational understanding of Data Structures and Algorithms, crucial for efficient software development.
Gained in-depth understanding and practical application of core data structures including arrays, linked lists, trees, and graphs.
Improved problem-solving skills and logical thinking through extensive hands-on coding practice.
Skills
Programming Languages
Python, PHP, SQL, HTML, CSS, JAVASCRIPT.
Soft Skills
Problem Solving, Teamwork, Adaptability, Communication, Critical Thinking, Logical Thinking.
Tools & Libraries
Flask, scikit-learn, Git, Bootstrap, MySQL, Linux (basic), Shell Scripting (basic), Pandas, NumPy, SQLAlchemy.
Concepts
Data Structures & Algorithms, Machine Learning Algorithms, Full Stack Development, OOP, REST APIs.
Projects
Coffee & Wifi – Cafe Finder
Summary
Built a Flask-based web app that helps users discover and review workspace-friendly cafes with filters for coffee quality, wifi strength, and power availability. Integrated user authentication, community contributions, Google Maps viewing, and RESTful API endpoints for external access to cafe data.
Demo Blog Website – Full Stack Web App
Summary
Created a personal blog demo using Flask to showcase skills in web development, REST API integration, email handling via SMTP, and environment variable management. The app features dynamic blog post rendering from an external API, a responsive Bootstrap UI, and a working contact form—all built as a learning portfolio project., Bootstrap, SMTP, and API.
Breast Cancer Predictor (Flask App)
Summary
Developed a machine learning web application using Flask and Logistic Regression to predict whether a breast tumor is malignant or benign, based on the Breast Cancer Wisconsin dataset. Implemented CSV upload, real-time predictions, and model accuracy display, as part of an internship project at Verveox Technologies.