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AI Engineer with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated B.Tech student specializing in Artificial Intelligence & Data Science, set to graduate in July 2026. Possessing strong analytical and problem-solving skills, demonstrated through hands-on projects in sentiment analysis and credit card fraud detection. Gained practical experience in AI-driven solution development and machine learning during an internship at Mindenious. Proficient in Python, SQL, and various data science libraries, eager to apply expertise in a dynamic tech environment.
Kings Engineering College
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Mindenious
Artificial intelligence
May 1, 2025 – June 1, 2025
India
Credit card fraud detection
October 1, 2025 – October 1, 2025
Detection system studies and analyses user behaviour patterns and uses location scanning techniques to identify any unusual patterns. In the instance of any unusual activity, the system will not only raise alerts, but it will also block the user after three invalid attempts.
E-Commerce Website with AI Assistant
September 1, 2025 – September 1, 2025
Integrated an AI-powered virtual assistant to help users search products, answer queries, and provide personalized recommendations. Implemented efficient UI flow, basic analytics, and user-friendly navigation to improve customer experience.
Sentiment analysis for product rating
December 1, 2024 – December 1, 2024
Analysed the keywords in the comment to find the match with the keywords stored in the database. Matched against the positive and negative keywords and sentiments.
Gold Badge in Java
Hacker Rank
June 1, 2026 – Present
Silver Badge in SQL
Hacker Rank
June 1, 2026 – Present
2nd Prize in a Hackathon
Sairam College
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship align well with an AI Engineer role, demonstrating a clear interest and foundational experience in the field. Participation in a hackathon and assisting friends with ethical investigation techniques suggest a proactive and collaborative attitude. The diversity of projects (sentiment analysis, fraud detection, e-commerce AI) indicates a broad interest in applying AI across different domains. However, the experience is primarily academic and internship-based, which might require mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on problem-solving tasks (fraud detection, sentiment analysis) and user-centric design (e-commerce AI assistant). The hackathon achievement suggests teamwork and problem-solving under pressure. However, the descriptions are brief, limiting a deeper assessment of operational fit and communication style.