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AI Engineer with less than a year in Data Analytics and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence and Data Science graduate skilled in SQL, Python, PostgreSQL, Power BI, ETL Pipelines, Machine Learning, and Data Analytics. Experienced in developing AI-powered applications, analytical dashboards, and data-driven solutions. Published patent holder with strong analytical and problem-solving abilities seeking opportunities in Data Analytics, Data Science, and Artificial Intelligence.
Sri Shanmugha College of Engineering and Technology
Bachelor of Technology (B.Tech) · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Tamil Speech-to-Text Transcription System Using Whisper Fine-Tuning
June 21, 2026 – Present
Fine-tuned OpenAI Whisper for Tamil speech recognition and developed a Gradio-based transcription application. Implemented audio preprocessing techniques to improve transcription accuracy in noisy environments.
Language-Agnostic AI Chatbot
June 21, 2026 – Present
Developed a multilingual NLP chatbot with contextual response generation and scalable architecture. Enhanced user interaction through intent recognition and intelligent response handling.
End-to-End ETL Pipeline for Student Data Management
June 21, 2026 – Present
Built ETL workflows using PostgreSQL, PySpark, and Power BI for educational data analytics. Designed data validation processes to ensure data accuracy and consistency across datasets.
NPTEL Elite – Network Security & Soft Computing
NPTEL
June 1, 2026 – Present
NPTEL Elite – Sustainable Energy Development
NPTEL
June 1, 2026 – Present
Ethical Hacking Certification
NPTEL
June 1, 2026 – Present
Power BI & Data Analytics
PrepInsta
June 1, 2026 – Present
Emotion-Aware Multilingual Sign Language Interpretation System Using Deep Learning
Unknown
February 1, 2026 – Present
Emotion-Aware Multilingual Sign Language Interpretation Using Deep Learning
IEEE ICKECS
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML and data science, aligning well with an AI Engineer role. The diversity of projects, from ETL to NLP and speech recognition, indicates a broad technical curiosity and willingness to explore different domains within AI. The academic background and certifications further reinforce a commitment to continuous learning. However, the lack of team-based projects or professional experience beyond an internship makes it difficult to fully assess cultural fit in a collaborative, fast-paced environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on end-to-end solutions, from data ingestion and processing to model deployment and user interaction. The focus on data validation and accuracy in ETL projects indicates attention to detail. The development of a Gradio-based application implies an understanding of user-facing deployment. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be definitively evaluated.