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AI Engineer with less than a year in data analysis, machine learning, and deep learning 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
BTech CSE (AI) student skilled in Python, data analysis, and machine learning, with hands-on experience in EDA, data preprocessing, and predictive modeling on real-world datasets.
Pranveer Singh Institute of Technology
Bachelor of Technology · Artificial Intelligence
December 1, 2022 – Present
Sir Padampat Singhania Education Centre
Class 12 · Science (PCM)
June 1, 2022 – March 1, 2022
Sir Padampat Singhania Education Centre
Class 10 · CBSE
June 1, 2020 – March 1, 2020
Skin Cancer Detection
February 1, 2025 – Present
Developed a Flask-based web application with MongoDB backend for skin cancer classification. Trained EfficientNet-B3 on ISIC 2018 dataset achieving 88.3% accuracy. Implemented image preprocessing, data augmentation, and scalable multilingual system design.
View ProjectCustomer Behavior Analysis
January 1, 2025 – January 1, 2025
Analyzed customer shopping dataset using Pandas and SQL to identify purchasing patterns and segmentation. Performed data cleaning, EDA, and feature engineering to extract actionable business insights. Built interactive Power BI dashboards to visualize trends, category-wise sales, and customer behavior.
Activity Detection
September 1, 2024 – December 1, 2024
Built a real-time human action recognition system using CNN-LSTM architecture. Achieved 94.2% accuracy, 94.0% F1-score, and 93.8% precision on UCF50 dataset. Deployed using Flask with video upload support for real-time inference and surveillance use cases.
Machine Learning
Unknown
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Database Management System
Unknown
June 1, 2026 – Present
Programming Fundamentals using Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML applications across different domains (computer vision, customer analytics, medical imaging). This diversity aligns well with an innovative and problem-solving culture. The pursuit of certifications like AWS Cloud Practitioner also indicates a proactive learning attitude. However, the lack of team-based projects or extracurricular activities limits the assessment of direct cultural fit aspects like teamwork and leadership.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data processing to model deployment. The focus on achieving specific metrics (accuracy, F1-score) suggests a results-oriented approach. However, without formal work experience or psychometric test results, it is difficult to assess collaboration, stress handling, or other operational soft skills.