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AI Engineer with less than a year in Data Analytics & 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
Enthusiastic B.E. student specialising in AI & ML, skilled in Python, C++, data structures, algorithms, SQL, OpenCV, Power BI, and Excel. Experienced in building ML models, performing data analysis, and developing projects in deep learning and NLP. Certified in Python, AI, and Machine Learning; passionate about applying skills to real-world problems through internships and projects.
Moodlkatte Institute of Technology, Kundapura
Bachelor of Engineering (B.E) · Artificial Intelligence and Machine Learning
October 1, 2022 – June 1, 2026
KodNest Technologies Pvt. Ltd.
Data Science Intern
February 1, 2026 – April 1, 2026
India
SkyllX Technologies Pvt. Ltd.
Data Analytics Intern
January 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Face Recognition-Based Attendance System
May 1, 2024 – December 1, 2024
Developed a real-time face recognition system using Python, OpenCV, and Haar Cascade to automate attendance marking, improving accuracy and efficiency over manual methods. Implemented face detection and recognition with secure SQLite storage for reliable attendance records. Automated attendance reporting, reducing manual errors and saving administrative time; designed a scalable, modular architecture supporting multiple classrooms with real-time performance.
Data-Driven Investigation: Job Displacement & Income Inequality Caused by AI
April 1, 2024 – May 1, 2025
Analysed AI-driven automation impact on job displacement and income inequality across sectors and demographics. Preprocessed and cleaned datasets with Pandas and NumPy; built a Decision Tree classifier evaluated on accuracy, precision, recall, and F1-score; performed multivariate regression to study economic relationships. Visualised workforce and income trends with Matplotlib, deriving actionable insights for policymakers and stakeholders.
Python Fundamentals
Infosys Springboard
June 1, 2026 – Present
Google Data Analytics
Coursera
June 1, 2026 – Present
SQL (Basic)
HackerRank
June 1, 2026 – Present
Introduction to Machine Learning
NPTEL (IIT)
June 1, 2026 – Present
Python for Data Science
NPTEL (IIT)
June 1, 2026 – Present
Problem Solving
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships show a proactive approach to learning and applying AI/ML concepts. The diversity of projects (face recognition, economic impact analysis) indicates a broad interest in AI applications. The target role of 'AI Engineer' aligns well with the candidate's academic specialization and project work. However, the experience level is 0, indicating a junior profile, which might require significant mentorship in a senior-level team. The candidate has participated in an offline professional team environment, suggesting an ability to collaborate.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills and teamwork through project descriptions and internship collaborations. The English test score of 61 suggests moderate communication clarity, which could be improved for senior-level roles requiring extensive documentation and stakeholder interaction. The psychometric test score is not provided, so an assessment of logical reasoning, work attitude, stress handling, and team collaboration cannot be made.