Swarnalaxmi T N

Skilled in technologies listed in my resume with a passion for learning and adapting to new tools and technologies. Proven ability to
solve complex problems and deliver results. Eager to contribute to innovative projects while continuously expanding my expertise.

• Ranked in the top 5 at the Inter-College Bidders Coding Camp, 2022
• Ranked 9th out of 500+ in GeeksforGeeks coding practice (2024)
• Secured 2nd place in an inter-college coding relay, demonstrating rapid coding, teamwork, and communication skills in 2024
• SQL, SoloLearn, 01/2023
• C++ Programming, Udemy, 07/2023
• Java Web Services and REST API with Spring Boot, Udemy, 07/2023
• Secured 2nd place in an inter-college coding relay, demonstrating rapid coding, teamwork, and communication skills in 2024

Hospital Management System: Python, MySQL

• Developed and implemented a hospital management system with 5 or more key features
• Res that simplified appointment creation, updates, deletions, and edits based on patient needs and availability, introduced a feature for doctors to update their availability, giving patients clear and real-time visibility into scheduling options
• Improved system functionality to better align patient needs with doctor schedules, reducing wait times, and minimizing scheduling conflicts

Optimizing Solution Strategies for the Falkner-Skan Equation: LSTM, FCNN, Runge-Kutta

• Researched and analyzed three computational models (LSTM, FCNN, and Runge-Kutta) to solve the Falkner-Skan equation, focusing on efficiency and accuracy in boundary layer flow simulations
• Trained and evaluated two neural network architectures (LSTM and FCNN) with up to 100 epochs, achieving faster computational times (0.8 seconds for LSTM) compared to traditional methods like Runge-Kutta (6 seconds), and prepared and processed datasets using numerical methods, enabling the training of models to predict velocity profiles, with results validated against theoretical solutions for accuracy