Full Stack Engineer with less than a year in Web Development & 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
Computer Science undergraduate with hands-on experience in full-stack web development and machine learning. Completed projects including fraud detection and face recognition systems. Strong foundation in data structures, Python, and web technologies, with internship experience in building responsive applications. Seeking software development or data science roles.
IILM University, Greater Noida
Bachelor of Technology · Computer Science & Engineering
September 1, 2022 – May 1, 2026
Oasis Infobyte
Website Developer Intern
September 1, 2025 – November 1, 2025
India
Face Recognition Based Attendance System
January 1, 2025 – December 31, 2025
Developed a face recognition attendance system using Python, OpenCV, and Tkinter. Implemented real-time face detection and automated attendance logging. Improved attendance accuracy and reduced proxy attendance issues.
Credit Card Fraud Detection System
January 1, 2025 – December 31, 2025
Built machine learning models achieving 92% accuracy on transaction datasets. Performed data cleaning, feature engineering, and model evaluation using Python and Scikit-learn.
Responsive Portfolio / Web Application
January 1, 2025 – December 31, 2025
Designed and developed a fully responsive website. Implemented interactive UI components and optimized loading speed. Applied modular design principles and clean coding practices.
Data Science
Infosys Springboard
June 1, 2026 – Present
Tableau for Data Visualization
Unknown
June 1, 2026 – Present
Network Topologies & Technologies
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning web development, face recognition, and fraud detection, indicates a broad interest in different technical domains. The target role of 'Full Stack Engineer' aligns with the web development experience, though the depth in both frontend and backend is limited. The academic background and certifications suggest a proactive learning attitude. The remote internship experience demonstrates adaptability to different work environments. However, the overall experience level is very junior, which might impact immediate cultural integration into a senior-level team without significant mentorship.
Soft Skills & Operational Fit
The candidate's internship experience highlights collaboration within a remote team and the application of version control, indicating a foundational understanding of teamwork and operational practices. Project descriptions suggest an ability to articulate technical outcomes (e.g., 'improved page load speed by 30%'). However, without specific psychometric or English test results, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and communication clarity is not possible.