
AI Engineer with less than a year in Python, SQL, 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
Computer Science (Artificial Intelligence) graduate with experience in data analysis, data preprocessing, and analytics-driven projects using Python, SQL, and MongoDB. Skilled in working with structured and unstructured data, building data workflows, and extracting meaningful insights. Passionate about uncovering patterns in data and transforming information into actionable insights.
Muthoot Institute of Technology and Science
B.Tech · Computer Science (Artificial Intelligence)
August 1, 2022 – June 30, 2026
Parassinikkadavu HSS
Higher Secondary Education
June 1, 2020 – May 31, 2022
AI Intern
AI Intern
June 1, 2025 – June 1, 2025
India
MindVault – AI-Powered Memory Assistant System
May 1, 2026 – Present
Developed a data driven information retrieval system using Python and MongoDB. Processed and analyzed structured and unstructured datasets to improve retrieval efficiency and information accessibility. Integrated conversational query processing for automated information access and semantic similarity search.
TRAVEZ -AI-Powered Smart Travel App System Mini Project
March 1, 2025 – Present
Built a Smart Travel planning application using Python and recommendation systems for personalized trip management. Engineered content based recommendation algorithms to generate customized travel itineraries. Enhanced recommendation accuracy using user preference matching.
Smart Gate Toll System in Robotics (Course Project)
March 1, 2025 – Present
Developed an automated toll gate simulation system using embedded hardware components. Integrated sensor based vehicle detection and automated gate control mechanisms.
Linguaskill Cambridge English (B2 Level)
Unknown
June 1, 2026 – Present
Google Data Analytics Course
June 1, 2026 – Present
Python for Data Science
NPTEL, IIT Madras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and an interest in applying AI concepts to real-world problems (e.g., memory assistant, travel app). The internship experience shows a willingness to learn and contribute in a professional setting. The breadth of skills and project diversity suggest adaptability, but the overall experience level is very junior, which might require significant mentorship to align with a senior role's cultural expectations.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Teamwork', and 'Communication' as soft skills. Project descriptions indicate an ability to work on structured problems and integrate various components. However, without specific behavioral assessment data, the operational fit beyond technical skills is difficult to fully ascertain.