Profile
I'm a passionate Computer Science and Data Science undergraduate student with hands-on experience in full-stack web development, machine learning, and academic research. I've built several personal and team-based projects, completed internships, and enjoy solving real-world problems using technology. I'm always eager to learn new tools, participate in hackathons, and contribute to open-source.
Back to homepageProjects
View selected projects below. More information can be found at my Linkedin profile
Real-time Bus Tracker
Developed a live bus tracking web app using React, Node.js, and Google Maps API. Simulated bus locations and updated positions every few seconds using WebSockets. Designed for smart city simulations. Skills: React, Express.js, Google Maps API.
GitHub
YouTube Analytics Dashboard
Built an R Shiny dashboard to visualize YouTube channel statistics using YouTube Data API. Features include video performance, comment sentiment analysis, and subscriber trends. Integrated ggplot2 and Plotly for interactive charts.
GitHub
Disease Prediction using ML
Designed a disease prediction system using machine learning models trained on patient symptom data. Used Scikit-learn for training Random Forest and Naive Bayes classifiers. Achieved ~87% accuracy. Project focused on health tech applications of AI.
GitHub
Student Course Registration System
Built a mini full-stack registration portal using MongoDB, Express, React, and Node.js. Features include login authentication, course listing, and dynamic enrollment. Implemented JWT for user sessions and MongoDB Atlas for cloud storage.
GitHubWork Experience
My complete work history is available on LinkedIn.
Web Developer Intern
CodeClause
Aug 2024 - Oct 2024
Created responsive websites using HTML, CSS, Bootstrap, and JavaScript. Gained practical exposure to client-side validation, form handling, and deploying on GitHub Pages.
- Built a portfolio website from scratch and deployed it online.
- Assisted in creating a job portal UI with form validation and filtering.
- Collaborated with mentors to review and improve project code quality.
Research Intern - AI & Data Science
VIT Research Lab
May 2024 - July 2024
Participated in a research internship under the guidance of faculty on a project titled "AI for Road Safety." Used OpenCV and YOLOv5 to detect traffic violations in real-time.
- Collected and annotated traffic video datasets using Roboflow.
- Trained object detection models to identify helmets, seatbelts, and red-light jumps.
- Contributed to a research paper submitted to a national conference.
Education
Sri Chaitanya Techno School
Visakhapatnam,AP
Class 9,10,11,12
Good Shepherd School
Bagdogra,WB
Percentage: 88.0
Bright Carrer School
Purnia,Bihar
Percentage: 91.5
Technical Skills
- Excel
- Power BI
- Tableau
- Java
- C
- C++
- HTML/CSS
- JavaScript
- MongoDB
- Express.js
- React.js
- Node.js
- Git/GitHub
- REST APIs
- SQL
- Python
- Data Visualization
- Data Analysis
Accomplishments
- Completed Google Data Analytics Certification
- Runner-up in VIT Hackathon 2024
- Published a paper on "AI for Smart Cities" in IEEE Conference 2023
- Top 10 finalist in Smart India Hackathon (SIH)