Bus Footboard Control Using IoT
A government-funded IoT project to prevent accidents caused by passengers riding on bus footboards. Uses sensor-based detection and automated control systems. Selected by TNSCST with sanctioned grant support.
Former Assistant Professor & MCA student with a strong Mathematics foundation. I build user-centric web applications and data visualizations — where analytical thinking meets clean code.

A passionate technologist blending academic depth with real-world development skills.
Hi! I'm Ramkumar S, an MCA student at Nandha Engineering College, Erode. I hold a B.Sc. in Mathematics from Kongu Arts & Science College and bring a uniquely analytical perspective to software development.
After completing my MCA, I served as an Assistant Professor in the Department of Computer Science (Data Science) at KSR College of Arts and Science, Tiruchengode — teaching, mentoring, and guiding students for one full academic year.
I'm passionate about Web Development, Data Visualization with Power BI, and solving real-world problems with technology. I communicate fluently in both Tamil and English.
Master of Computer Applications
2023 – 2025 · CGPA: 8.2Bachelor of Science in Mathematics
2019 – 2022 · CGPA: 8.4Dept. of Computer Science (Data Science)
1 Academic Year · Teaching, Guidance & EvaluationsTiruchengode, Namakkal, Tamil Nadu
Open to Remote OpportunitiesTechnologies, tools, and strengths I bring to every project.
// Languages & Web
// Tools & Data
// Tools
// Strengths
Research and applied projects spanning IoT, algorithms, and signal processing.
A government-funded IoT project to prevent accidents caused by passengers riding on bus footboards. Uses sensor-based detection and automated control systems. Selected by TNSCST with sanctioned grant support.
Applied advanced graph theory concepts to model and solve the classic Travelling Salesman Problem — exploring optimal path-finding strategies using mathematical frameworks and algorithmic analysis.
Research project focused on improving noise robustness in EEG brain signal source localization using Sparse Bayesian Learning — contributing to more accurate neurological signal analysis.
Milestones that reflect my commitment to learning and excellence.
Open to developer roles, IT opportunities, and interesting collaborations.
Whether you have a job opportunity, a project, or just want to connect — my inbox is always open. I'm actively seeking roles in Web Development and Data Analytics.