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Sri Venkateswara College of Engineering
Data Scientist
June 14, 2026 – Present
tn-thooimai
March 16, 2026 – Present
TN Thooimai (Tamil: தூய்மை = cleanliness) is a Tamil-native waste accountability platform that connects three actors: citizens, collection drivers, and ward/campus supervisors in one real-time ecosystem
View ProjectMakeathon
March 8, 2026 – Present
Official website for Makeathon 7.0 - National Level Hackathon by SVCE ECE Dept | Presented by IETE-SF, ECEA & RACE
View ProjectSpineTrace-AI
March 4, 2026 – Present
SpineTrace AI, the first zero-hardware system that infers spinal health indicators from a standard smartphone walking video using a novel Physics-Informed Neural Network architecture termed the Kinetic Chain PINN (KC-PINN).
View ProjectSemantic-Relay
November 25, 2025 – November 30, 2025
A smart out-of-office (OOO) handover protocol that transforms static vacation messages into dynamic, context-aware message routing
View ProjectAdaptive-Audio-Enhancement-System
November 23, 2025 – November 24, 2025
This real-time framework combines Sign-LMS adaptive filtering for noise cancellation with CNN & SVM models for intelligent audio quality assessment.
View ProjectTourist-Safety-Dashboard
September 11, 2025 – November 24, 2025
An Authority Dashboard Web Application for real-time tourist safety with Mapbox mapping, geofencing, Firebase Auth and multilingual support.
View ProjectAEGISFLOOD-Flood-Prediction-System
August 23, 2025 – November 26, 2025
AI-powered flood prediction platform featuring risk forecasting, citizen dashboards, and auto SMS/WhatsApp alerts for emergency response.
View ProjectCultural Fit Analysis
The candidate's portfolio shows a strong inclination towards personal projects, many of which involve data processing, AI, and web development. This indicates a curious and hands-on approach, which can be a good cultural fit for an innovative environment. However, the lack of professional experience beyond a current 'Data Scientist' role at an educational institution (with a future start date) means there's limited data to assess cultural fit in a corporate setting. The projects like 'AEGISFLOOD' and 'tn-thooimai' show an interest in impactful, real-world applications.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual. The diversity of projects indicates an ability to work on varied problems. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.