Aspiring Software Developer / Software Engineer
Learning & Building
MCA student passionate about software development, software engineering, Python, SQL and hands-on with AI/ML projects.
View Resume
MCA student passionate about software development, software engineering, Python, SQL and hands-on with AI/ML projects.
View Resume
I am a Master of Computer Applications (MCA) student at Chanakya University, Bengaluru, with an academic background and practical exposure to software development and data-driven projects. Through academic work and internships, I have contributed to the development of intelligent applications, full-stack systems, and analytical solutions.
I have a solid foundation in Python, Java, and SQL, along with hands-on experience in machine learning, exploratory data analysis (EDA), and data visualization using tools such as Power BI and Tableau. My project experience includes building end-to-end applications, working with databases and APIs, and applying analytical techniques to derive meaningful insights.
I continuously work on strengthening my technical skills by exploring modern development practices and data-oriented approaches. I enjoy learning new technologies and applying them to practical scenarios to create efficient and scalable software solutions.
Built an intelligent campus system featuring real-time face-recognition attendance, a Gemini-based chatbot, IoT automation, and database-driven user workflows. Implemented a robust computer-vision pipeline using HOG/CNN face detection and OpenCV real-time recognition for accurate automatic attendance marking.
An intelligent web-based system delivering personalized travel recommendations using user preferences and location; built as a Full Stack Development project with interactive maps and optimized itinerary suggestions.
A farm produce tracking solution to monitor supply chain stages, crop health logs and deliveries. Built with a backend database, reporting dashboards and QR-based tracking for farm-to-market transparency.
Smart Processing & Strategic Placement Data Management system. Streamlines campus placement with student profiling, job tracking, and AI-driven matching.
Predicting match outcomes using historical IPL data, team/player statistics and ensemble machine learning models. Includes feature engineering for venue, toss, and player form to improve predictive accuracy.
Analyzed climate impact trends and major disasters using visualization tools. Delivered dynamic dashboards to communicate data-driven insights for policy and awareness.
I'm open to opportunities and collaborations — feel free to reach out.