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AI Engineer with 1+ years in Python, Machine Learning & Data Analytics.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech in Artificial Intelligence and Machine Learning graduate with hands-on experience in Python, SQL, Machine Learning, and Computer Vision. Skilled in developing AI-driven applications, machine learning models, and intelligent systems using deep learning and computer vision techniques. Passionate about continuous learning, emerging technologies, and delivering innovative solutions that create real-world value.
Mahaguru Institute of Technology
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Cherupushpa Bethany Senior Secondary School
Higher Secondary Education · Computer Science
June 1, 2019 – May 31, 2021
Luminar Technolab
Data Science Intern
July 1, 2025 – Present
India
TORC Infotech Pvt. Ltd.
Artificial Intelligence Intern
June 1, 2024 – August 1, 2024
Cochin, Kerala, India
Movie Success & Revenue Prediction
April 1, 2026 – May 1, 2026
Built an end-to-end ML pipeline that scrapes data from IMDb and TMDB using BeautifulSoup and Selenium, then trains a Random Forest classifier to predict box-office hit/flop and a Random Forest regressor to estimate revenue. Deployed an interactive Streamlit app enabling users to input movie parameters and receive real-time predictions with feature importance breakdowns.
Spotify Data Analysis Dashboard
March 1, 2026 – March 1, 2026
Developed an interactive Power BI dashboard to analyse Spotify song data, including artist performance, song popularity, and listening trends. Performed data cleaning and transformation to handle missing values and ensure accurate analysis. Created visualizations such as bar charts, KPIs, and trend graphs to represent key insights. Analysed 789 songs across 342 artists, identifying top-performing artists and tracks.
Online Certification Program in Engineering with Python
ICFOSS
June 1, 2026 – Present
Research Paper Presentation - Sign Language Detection and Generation using Deep Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying AI/ML concepts. The diversity in projects, from movie prediction to Spotify data analysis, shows adaptability and a broad interest in different applications of AI. The target role of 'AI Engineer' aligns well with their B.Tech in AI/ML and internship experiences, suggesting a strong cultural fit for a role focused on developing intelligent systems.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, stakeholder communication, data storytelling, attention to detail, and time management as soft skills. These are crucial for an AI Engineer role, indicating a potential for good operational fit and collaboration within a team. The project descriptions also reflect an ability to execute tasks from data acquisition to deployment, suggesting a structured approach to problem-solving.