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Software Developer with 4+ years in Python, ML & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated MCA student with hands-on experience in Python, SQL, Machine Learning, Data Analytics, and Full-Stack Web Development. Skilled in building data-driven applications and AI-based predictive systems using Python, TensorFlow, and modern web technologies. Developed and deployed real-world projects including a Cloud Kitchen Management Platform and a Student Performance Prediction System. Passionate about software development, problem-solving, and building scalable technology solutions.
Jyoti Nivas College
Master of Computer Application
August 1, 2024 – August 1, 2026
Banwari Lal Bhalotia College
Bachelor of Computer Applications
September 1, 2021 – June 1, 2024
St Mary Goretti Girls' High School
Higher Secondary Education
August 1, 2016 – August 1, 2018
St Mary Goretti Girls' High School
Senior Secondary Education
August 1, 2014 – August 1, 2016
Student Performance Predictor
June 17, 2026 – Present
Developed an ensemble machine learning framework to predict final examination marks, CGPA, and pass/fail outcomes. Combined Gradient Boosting, Random Forest, Logistic Regression, Temporal Modeling, and Autoencoder-based Deep Learning. Trained and evaluated models using a dataset of 1,100+ student records. Built an interactive dashboard for dataset upload, prediction, visualization, and analytics. Achieved 88.42% prediction accuracy.
View ProjectSpoonjoy
June 17, 2026 – Present
Developed a cloud kitchen management platform supporting customers, administrators, and delivery partners. Implemented role-based authentication, order tracking, menu management, and delivery assignment features. Designed a responsive user interface for desktop and mobile devices. Integrated checkout workflow, order status updates, reporting, and feedback management. Deployed the application on Render.
Stress and Anxiety Detection Using Eye Images
June 17, 2026 – Present
Developed a deep learning-based system for stress and anxiety detection using ocular biomarkers. Implemented VGG16, MobileNetV2, and EfficientNetBo architectures. Applied image preprocessing, augmentation, and ensemble classification techniques. Evaluated performance using accuracy, precision, recall, and F1-score metrics.
Python for Data Science
NPTEL - IIT Madras
January 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in both software development and data science/machine learning, which indicates a broad technical curiosity. The projects include both a professional web application and academic research-oriented ML/DL projects, demonstrating versatility. The target role is 'Software Developer', and the Spoonjoy project directly aligns with this. The academic projects, while not directly software development, showcase strong analytical and programming skills transferable to a software development role. The candidate is currently pursuing a Master's degree, indicating a commitment to continuous learning. The lack of professional work experience might require a team that can provide mentorship and structured growth.
Soft Skills & Operational Fit
The candidate's resume highlights 'Effective in communication and adaptable to different situations' as professional skills. The project descriptions are clear and concise, indicating good written communication. The diversity of projects (web development, machine learning, deep learning) suggests adaptability and a problem-solving mindset. However, without specific psychometric test results, a deeper assessment of stress handling, logical reasoning, and team collaboration is not possible.