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Entry-level AI Engineer with Python, Machine Learning, and Computer Vision expertise.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science (AI & ML) student with hands-on experience in Python, SQL, and data-driven problem solving. Skilled at applying machine learning and computer vision techniques to extract insights from complex datasets. Familiar with the end-to-end data pipeline from data collection and cleaning to analysis and reporting with a strong foundation in Excel for business reporting. Eager to contribute to a data analyst role where analytical thinking and continuous learning drive measurable impact.
Audisankara College of Engineering and Technology
B.Tech · Computer Science & Engineering — Specialisation: Artificial Intelligence
August 1, 2022 – June 30, 2026
Nethaji Junior College
Intermediate (Class 12) · MPC Stream
June 1, 2020 – May 31, 2022
Smart Assistive System for the Visually Impaired
January 1, 2024 – January 1, 2025
An AI-powered real-time assistive tool built using computer vision and edge computing. Designed and developed a Python-based pipeline that processes live camera feeds to detect obstacles, vehicles, and pedestrians using computer vision models. Integrated a text-to-speech output module to translate visual data into actionable audio guidance, enabling offline operation without internet dependency. Applied data preprocessing and model optimisation techniques to ensure reliable performance on low-resource edge devices. Addressed ethical considerations around data privacy, user autonomy, and inclusive AI design relevant to responsible data analysis practices.
Python Basics for Data Science
IBM
June 1, 2026 – Present
HTML & CSS Fundamentals
W3CX
June 1, 2026 – Present
Java Programming Internship
iGenuine
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project demonstrates initiative and a focus on impactful AI applications, which aligns with an innovative culture. The specialization in AI and ML indicates a clear career interest. However, the lack of diverse project types (only one academic project) and professional experience limits the assessment of adaptability and broader cultural alignment. The certifications are basic and do not significantly enhance cultural fit beyond demonstrating a willingness to learn.
Soft Skills & Operational Fit
The candidate's project description indicates an ability to work on complex, multi-faceted problems, suggesting problem-solving and analytical skills. The focus on ethical AI design points to a responsible and thoughtful approach. However, without direct work experience or psychometric test results, it is difficult to fully assess operational fit, teamwork, or stress handling capabilities.