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AI Engineer with 1+ years in Machine Learning & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & ML graduate with hands-on experience in Python, SQL, HTML, and CSS. Delivered AI projects and published research, driving innovative, data-driven solutions. Eager to contribute skills and grow in a challenging professional environment.
Sri Krishna Adithya College of Arts and Science
Bachelor's in Artificial Intelligence and Machine Learning · Artificial Intelligence and Machine Learning
August 1, 2022 – May 1, 2025
DHSS
Higher Secondary Schooling
June 1, 2021 – March 1, 2022
DHSS
Senior Secondary Schooling
June 1, 2019 – March 1, 2020
Blood Group Detection using Deep Learning
May 1, 2025 – June 1, 2026
Completed a Main project on "Blood Group Detection using Deep Learning". Tools: Visual Studio Code. Built a CNN model for non-invasive blood group prediction from fingerprint images.
Drug Consumption Prediction
May 1, 2025 – June 1, 2026
Completed a Capstone project on "Drug Consumption Prediction" using machine learning. Tools: Google Colab. Built an ML model to predict drug use from behavioral and demographic data.
Introduction to Artificial Intelligence
Coursera
June 1, 2026 – Present
Internship on Artificial Intelligence
Internzlearn
June 1, 2026 – Present
NPTEL Examination on “Stress Management”
NPTEL
June 1, 2026 – Present
AI in Education
International Conference on Navigating Digital Transformation at Suguna College of Arts and Science
June 1, 2026 – Present
Study of Neural Networks
Second International Conference at KPR College of Arts Science and Research
June 1, 2026 – Present
Heart Dysfunction Prediction using Machine Learning
Fuzzy Systems and Soft Computing
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest in AI/ML, aligning well with an AI Engineer role. The diversity of projects (prediction, image classification) indicates a broad foundational interest. However, the lack of professional experience or collaborative projects limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists 'Adaptive', 'Team-Oriented', 'Active Listener', and 'Organized' as key strengths, which are positive indicators for operational fit. However, these are self-reported and not validated by assessment data.