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Software Engineer with less than a year in Web Development and 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
Seeking a challenging role in Computer Science and Engineering to apply my skills in Software Development, Machine Learning, and Web Applications. I aim to contribute to innovative projects at the intersection of Software Engineering and AI by leveraging strong problem-solving abilities and programming expertise to address real-world challenges.
National Institute of Technology, Andhra Pradesh
Computer Science and Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Veda Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Z P High School
Board Of Secondary Education
N/A – May 31, 2020
Heart Disease Prediction Using Machine-Learning
January 1, 2024 – June 1, 2026
Built a heart disease prediction system using the UCI dataset with Logistic Regression, Decision Tree, and Random Forest models to compare performance. Performed data preprocessing, feature selection, model training, hyperparameter tuning, and evaluation using accuracy, precision, recall, and confusion matrix.
Job Portal Website
January 1, 2024 – June 1, 2026
Built a full-stack job portal using React, Node.js, Express.js, and MongoDB, enabling job seekers to search and apply for jobs online. Implemented user authentication JWT allowing job seekers to create profiles and upload resumes securely. Developed a recruiter dashboard to post new job openings, manage applications, and review applicant resumes with accept/reject options.
Credit Card Fraud Detection using Machine Learning
January 1, 2024 – June 1, 2026
Built a machine learning model using Random Forest Classifier to detect fraudulent credit card transactions. Performed data preprocessing, feature analysis, PCA-based feature exploration, and model evaluation using accuracy, precision, recall, and F1-score. Achieved high reliability in identifying fraudulent activities on unseen test data.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest across web development and machine learning, which could indicate adaptability. However, the lack of professional experience or extracurricular activities makes it challenging to fully assess cultural fit, collaboration style, or initiative beyond academic requirements. The target role 'Software Engineer' is broad, and the candidate's skills align with aspects of it, but more specific alignment would require further information.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on problem-solving and programming expertise. The academic projects suggest an ability to work on defined tasks and deliver functional prototypes. However, without psychometric test results or work experience, it is difficult to assess soft skills like teamwork, stress handling, or communication clarity in a professional setting.