Final-year MCA student at RNS Institute of Technology passionate about building secure, intelligent, and scalable software solutions using Python, Artificial Intelligence, Blockchain, and Data Analytics.
I am a final-year Master of Computer Applications (MCA) student at RNS Institute of Technology, Bengaluru. My interests include Python Development, Artificial Intelligence, Blockchain, Backend Development, and Data Analytics. I enjoy designing secure software systems that solve real-world challenges using modern technologies.
My projects focus on secure biometric authentication, blockchain-based voting systems, and business intelligence dashboards. I continuously explore emerging technologies and enjoy turning ideas into practical software solutions.
Hands-on experience in software development, AI, blockchain, backend systems, databases, and business intelligence using modern tools and technologies.
A collection of software engineering, AI, blockchain, and data analytics projects demonstrating practical problem-solving and real-world application development.
Developed a secure desktop-based electronic voting system integrating biometric fingerprint authentication, blockchain technology, smart contracts, and AI-assisted anomaly detection to ensure transparent, tamper-proof, and fraud-resistant elections.
Designed an interactive Power BI dashboard to analyze customer credit risk using Python, SQL, Power BI, DAX, and Excel for business intelligence and data-driven decision-making.
Developed a desktop-based hotel management application for room booking, guest management, billing, staff administration, and reporting with an intuitive user interface.
Exploring the integration of Artificial Intelligence, Biometrics and Blockchain for secure digital voting.
Research Summary — This research extends the MATA RAKSHA project by integrating fingerprint biometric authentication, blockchain-based secure vote recording and AI-driven anomaly detection into a unified digital voting framework. The proposed architecture aims to improve election transparency, voter authentication and tamper resistance while providing a scalable solution for secure electronic voting. The paper has received conference acceptance, while the registration and publication decision is currently on hold.
Hands-on experience in data analytics, business intelligence and dashboard development.
Successfully completed a 90-day internship focused on business intelligence, data visualization and analytics. Developed an interactive Credit Risk Analytics Dashboard using Power BI, Python and MySQL to analyze customer creditworthiness, automate reporting and generate business insights.
Recognition earned through academic excellence, research, internships, certifications and real-world software projects.
Awarded by the Department of MCA, RNS Institute of Technology for the Credit Risk Analytics Dashboard project.
Research paper on AI-assisted biometric blockchain voting accepted for presentation at an international conference.
Successfully completed the Skill India & NASSCOM AI Data Quality Analyst certification.
Completed Front-End Web Developer certification covering HTML, CSS, JavaScript and responsive web development.
Completed Cloud Computing certification covering cloud fundamentals and deployment concepts.
Completed Data Analytics internship involving Power BI, Python, SQL and business intelligence reporting.
Built an interactive Power BI dashboard for financial credit risk analysis using Python, SQL and DAX.
Developed an AI-enhanced biometric blockchain voting system integrating fingerprint authentication and smart contracts.
Designed and deployed a modern responsive portfolio showcasing projects, research and certifications using React and TypeScript.
Currently seeking Software Engineer, Python Developer, AI/ML, Blockchain and Data Analytics opportunities.
Thank you for visiting my portfolio. I am passionate about Software Development, Artificial Intelligence, Blockchain and Data Analytics. I am always open to discussing full-time opportunities, innovative projects and research collaborations.