Driven by a passion for data analysis and cloud computing, I excelled as a Graduate Research Assistant at the University of Illinois at Springfield, enhancing research efficiency by 30% through innovative data mining techniques and tool development. Skilled in Python, SQL, and collaborative problem-solving, I thrive in dynamic environments that challenge my technical and interpersonal abilities.
Participating in coding contests of Code Chef and Hacker Earth.
Phobos Search Engine Using Data Mining and Information Retrieval, Bachelor's Project, 01/01/21, 06/01/21, Developed a search engine prototype using Python to build a web crawler and perform content parsing and indexing., Utilized Beautiful Soup and Requests libraries to scrape HTML content and extract relevant data from web pages., Employed NumPy and Regular Expressions for efficient data processing, breaking webpage content into tokens for indexing., Implemented a custom search algorithm for content retrieval, storing indexed data in SQLite for fast querying., Designed a simple user interface using HTML/CSS to allow users to enter search queries and view relevant search results. Fire Reporting System, Master's Project, 08/01/23, 12/01/23, Developed a real-time fire reporting system using Java and Spring Boot, enabling users to report fire incidents quickly and efficiently., Integrated Google Maps API for accurate location tracking of incidents, ensuring precise information for emergency services., Designed and implemented a responsive front-end using HTML/CSS/JavaScript, allowing users to easily submit fire reports., Utilized MySQL for storing and managing fire report data, ensuring reliable and secure data handling., Implemented Firebase Cloud Messaging (FCM) to send real-time notifications to emergency responders upon submission of fire reports., Deployed the application on AWS EC2 for public access, ensuring scalability and high availability.