Software Engineer with less than a year in AI/ML, Python, and IoT systems development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science and Engineering student with a strong foundation in Python, AI/ML, IoT, and web development technologies. Proven ability to design and implement innovative solutions for real-world problems, as demonstrated by projects in disaster management, agricultural prediction, and women's safety robotics. Eager to apply technical skills and problem-solving abilities to contribute to cutting-edge engineering challenges.
Presidency University
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2025
St. Anne's PU College
12th Grade
N/A – May 31, 2021
VIDYANIKETHAN English School
SSLC
N/A – May 31, 2019
Women Safety Patrolling Robot using Raspberry Pi
June 19, 2026 – Present
Aim: Ensure women's safety using a Raspberry Pi-based robot with real-time monitoring and emergency alerts. Technology Used: Raspberry Pi, Python, sensors, camera, motor driver, IoT communication. Learning Outcome: Built a real-time monitoring and emergency alert robot using Raspberry Pi and IoT. Implemented sensors, camera, motor driver, and alert system integration.
Proactive Disaster Management for Fire Hazards
June 19, 2026 – Present
Aim: Strengthen workplace safety through proactive fire-risk management and training. Technology Used: Fire-alarm panels, smoke/heat detectors, emergency lighting, inspection tools. Learning Outcome: Enhanced workplace safety through proactive fire-risk assessment and training. Worked with fire-alarm panels, detectors, emergency lighting, and inspection tools.
AI-ML Based Model for Predicting Agri-Horticultural Commodities
June 19, 2026 – Present
Aim: Predict Agri-horticultural commodity prices using AI/ML for better decision-making. Technology Used: Python, R, SQL, ML algorithms, data visualization tools. Learning Outcome: Built predictive ML models using Python, R, SQL, and Scikit-learn. Analyzed historical, seasonal, and market data for forecasting.
Python Full Stack Certification
Unknown
June 1, 2026 – Present
Published in IJSREM
IJSREM
May 1, 2025 – Present
Presented at NCAET-2025
NCAET
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects show a diverse interest in areas like AI/ML, IoT, and even safety management, which could indicate adaptability. The academic nature of all projects and lack of professional experience means cultural fit in a corporate setting is largely unproven. The target role is 'Software Engineer', and the projects align with entry-level software development or data science interests. The breadth of skills is reasonable for an entry-level candidate.
Soft Skills & Operational Fit
The candidate's academic projects suggest an ability to work on defined problems and apply learned technologies. The descriptions indicate a focus on practical application and problem-solving. However, without completed psychometric or English tests, it is difficult to assess logical reasoning, work attitude, stress handling, or team collaboration skills. The candidate is still pursuing their Bachelor's degree, indicating a foundational level of experience.