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AI Engineer with 3+ years in Python, Scikit-learn, and Machine Learning for data-driven projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Shipped 3 complete ML projects from raw data to evaluated model, accumulating 500+ hours of hands-on Python and Scikit-learn practice. Consistently iterated on model performance using cross-validation, hyperparameter tuning, and evaluation metrics applying techniques from coursework to real datasets.
MIT World Peace University (MIT-WPU)
B.Tech · ECE (AI/ML)
August 1, 2023 – June 30, 2027
Github
ML-Powered Pedestrian Intent Detection Pipeline
January 1, 2026 – Present
India
Github
Student Performance Predictor
January 1, 2025 – Present
India
Independent
Self-Directed AI/ML Research & Development
January 1, 2023 – Present
Pune, Maharashtra, India
Cultural Fit Analysis
The candidate shows a strong inclination towards AI/ML through their education and self-initiated projects. Their participation in hackathons and self-study indicates a proactive and growth-oriented mindset, which aligns well with an innovative culture. The diversity of projects (pedestrian intent, student performance, DBMS) shows a breadth of interest, though the primary focus is clearly on ML. The target role of 'AI Engineer' is a good fit for their demonstrated skills and interests.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and independent work ethic through self-directed projects. Their ability to design end-to-end workflows without external mentoring suggests good autonomy. However, there is no direct evidence of stress handling or team collaboration from the provided data, as the psychometric test score is 0.