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Aspiring Data Engineer with Python, Java, and Web Development skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring software professional with a strong foundation in Computer Science and Artificial Intelligence, seeking an entry-level opportunity to apply technical knowledge, analytical thinking, and problem-solving skills in a dynamic organization that values innovation, continuous learning, teamwork, and organizational growth.
Anna Adarsh College for Women
Bachelor of Science (B.Sc.) – Computer Science with Artificial Intelligence · Computer Science with Artificial Intelligence
August 1, 2023 – June 30, 2026
Anna Adarsh College for Women
Higher Secondary Education (Class XII)
June 1, 2023 – May 31, 2023
Anna Adarsh College for Women
Higher Secondary Education (Class XI)
June 1, 2022 – May 31, 2022
Unique Technologies
Learned basics of Python
January 1, 2026 – Present
India
TwinShield Access IoT-Based Door Entry System
January 1, 2026 – Present
Built an IoT-based door entry system with dual authentication for secure access.
Task Manager
January 1, 2026 – Present
Created a web-based app using HTML, CSS, and JavaScript to organize and track daily tasks easily.
SDLC-EduTutor AI
January 1, 2026 – Present
Designed a personalized learning platform to help students learn better.
Spam Classifier
January 1, 2026 – Present
Developed a web app to detect spam emails and improve message filtering accuracy.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in web applications, IoT, and AI/ML, indicating a willingness to explore different technical domains. The stated soft skills align with a collaborative and learning-oriented culture. However, the limited professional experience and academic nature of projects suggest a need for significant mentorship and structured development within a professional setting.
Soft Skills & Operational Fit
The candidate highlights problem-solving, communication, teamwork, adaptability, and innovative thinking. These soft skills are beneficial for collaborative data engineering environments. However, without practical demonstrations or detailed project contributions, the depth of these skills cannot be fully assessed.