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AI Engineer with 1+ years in Machine Learning & Data Analysis
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science fresher skilled in Machine Learning, Generative AI, and Data Analysis. Experienced in building ML models, LLM-based applications, and analytical dashboards using Python, SQL, and AI frameworks. Strong problem-solving abilities with hands-on project experience, eager to apply skills to real-world AI and data-driven roles.
SRI KRISHNA INSTITUTE OF TECHNOLOGY
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
CODECLAUSE
AI/ML Intern
November 1, 2025 – Present
India
OWL AI
AI/ML Research Intern
August 1, 2025 – Present
India
AI - POWERED HEALTH CARE SYSTEM
June 1, 2025 – June 1, 2026
Developed a voice-enabled AI system for symptom reporting, appointment scheduling, and medication reminders. Integrated STT, TTS, and NLP models to support natural human interaction. Improved accessibility for elderly and differently-abled individuals with a 24/7 hands-free interface.
CUSTOMER SHOPPING BEHAVIOR ANALYSIS
June 1, 2025 – June 1, 2026
Analyzed 3,900+ records using Python and Excel to identify purchasing trends and revenue patterns. Segmented customers with Python and Power BI, showing loyal users drive ~80% of revenue. Identified top products using SQL and Excel and built a Power BI dashboard for insights.
Cultural Fit Analysis
The candidate's projects and internships demonstrate a strong interest in AI/ML and data analysis, aligning well with an AI Engineer role. The diversity of projects (healthcare AI, customer behavior analysis, AI games, object detection) indicates a broad curiosity and willingness to explore different applications of AI. The academic background in Computer Science further supports this alignment. However, the experience level is very junior, which might require significant mentorship within a senior team.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, critical thinking, communication, and teamwork as soft skills. The project descriptions indicate an ability to work on diverse tasks, from AI system development to data analysis, suggesting adaptability. However, without specific behavioral assessment data, the operational fit regarding stress handling or team collaboration cannot be fully assessed.