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Data Science with 1+ years in Machine Learning & Data Analytics
Driven and detail-oriented Electronics and communication Undergraduate with a strong foundation in Electronics, end-to-end pipeline development, including data ingestion, transformation, and large-scale dataset handling. Proficient in Python, C, SQL, with Hands-on Experience in Machine Learning and basic Artificial Intelligence concepts. Apet at working on real-time projects using tools like VS Code, LTSpice, Arduino IDE, PowerBI, and Davinci Resolve. Passionate about building impactful, scalable solutions and actively seeking opportunities to contribute to forward-thinking tech initiatives.
SRM IST-Kattankulathur
B.Tech · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
TATA Motors
Data Analytics Internship
January 1, 2025 – Present
Salem, Tamil Nadu, India
Explainable Deepfake Video Detection Using Multiple Cues
December 1, 2025 – June 1, 2026
This project develops an explainable deepfake video detection system that analyzes visual artifacts, temporal motion patterns, physiological signals, and audio-visual synchronization.
View ProjectSmart Product Price Prediction using Multimode Machine Learning
September 1, 2025 – June 1, 2026
This project presents an effective approach to automated product price prediction using multimodal data fusion.
View ProjectImage Processing and Automated Diagnosis of Multiple Sclerosis in Brain MRI using U-Net
January 1, 2025 – June 1, 2026
Developed an automated system using U-Net and CNN and Image Processing for detecting and segmentation Multiple Sclerosis(Brain Disease) lesions in Brain MRI scans, improving accuracy and aiding neurologists in early diagnosis.
View ProjectAWS Educate Machine Learning Foundations - Training Badge
AWS Educate
June 1, 2026 – Present
Certificate Course in Artificial Intelligence – Teachnook with Cognizance'24, IIT Roorkee
IIT Roorkee
July 1, 2024 – Present
Certificate for Assessment in Python
HackerRank
January 1, 2024 – Present
AICTE Assessment Certification – All India Council for Technical Education
AICTE
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI/ML applications, including healthcare and security, which aligns with innovative and research-driven environments. The participation in an internship and various certifications shows initiative and a desire for continuous learning, which are positive indicators for cultural fit in a growth-oriented team. The breadth of skills listed, from programming to VLSI, suggests a versatile individual, though the target role is Data Science.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a detail-oriented and problem-solving approach. The academic projects, particularly in medical image processing and deepfake detection, indicate an ability to tackle complex, real-world problems. The internship experience shows an ability to apply theoretical knowledge to industry datasets. However, as an undergraduate with limited professional experience, the operational fit for a senior role would require significant mentorship and development.