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AI Engineer with less than a year in Data Science & 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
Aspiring to work in a challenging position where I can leverage my strong foundation in Artificial Intelligence and Data Science along with hands-on experience in developing and deploying robust applications, to contribute effectively to innovative product development and organizational growth.
Dr.Mahalingam college of Engineering and Technology
B Tech · Artificial intelligence & Data Science
August 1, 2023 – June 30, 2027
Frontline Millennium School
SSLC
N/A – May 31, 2021
Srinivasa Vidhyalaya Matriculation Higher Secondary School
HSC
N/A – May 31, 2023
Gateway Software Solutions
Python with Data Science
January 1, 2025 – Present
Coimbatore, Tamil Nadu, India
SchemeSense - AI-Based Government Scheme Recommendation Platform
January 1, 2025 – December 31, 2025
Built an AI-powered welfare scheme recommendation platform using NLP and keyword matching. Developed a chatbot-style interface with Flask, HTML, CSS, and JavaScript for personalized scheme suggestions.
AI Movie Recommendation System
January 1, 2024 – December 31, 2024
Developed an AI-based movie recommendation system using content-based filtering (TF-IDF & cosine similarity). Integrated OMDb API to fetch real-time movie details and built interactive features using Streamlit.
Introduction to Data Science, Machine Learning for Beginners and, Introduction to LLMs courses.
Unknown
June 1, 2026 – Present
Soft skills and Human resource development.
NPTEL
June 1, 2026 – Present
The candidate scored 100% on the 'Data Scientist — Artificial Intelligence' test, indicating excellent theoretical knowledge and understanding of the core concepts covered.
Strengths
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a problem-solving mindset, with a focus on real-world applications (movie recommendations, government scheme suggestions). Participation in extracurricular activities like NSS and various competitions indicates a collaborative spirit and engagement beyond academics. The internship experience, though brief, shows an interest in practical data science applications. The target role of AI Engineer aligns well with the candidate's academic background and project experience, suggesting a good cultural fit for a technically driven environment.
Soft Skills & Operational Fit
The candidate's psychometric test score (305/500) suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration. While the resume lists 'Quick Learner', 'Time Management', 'Team Collaboration', and 'Adaptability' as soft skills, the psychometric test indicates these areas may require further development or validation. The English test score (60/100) suggests communication clarity and professional language usage are adequate but could be improved.
Limitations