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Software Engineer with less than a year in Machine Learning & Backend 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
Computer Science undergraduate with strong problem-solving and software development skills. Proficient in Java, Data Structures Algorithms, and backend development, with hands-on experience in machine learning and automation projects. Passionate about software engineering and building scalable, efficient applications.
BVRIT Hyderabad College of Engineering for Women
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
KLN Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Bhashyam High School
SSC
June 1, 2019 – May 31, 2020
SmartFruitAnalyser
March 1, 2025 – June 1, 2025
Developed an ML-powered fruit analysis system for barcode-based classification and quality checking. Implemented real-time barcode scanning and browser-based AI predictions using TensorFlow.js. Integrated REST APIs and voice interaction features to improve accessibility and user experience. Built a responsive frontend and deployed the application using Netlify.
Camera Price Prediction System
March 1, 2024 – May 1, 2024
Automated data collection from e-commerce websites using Selenium. Performed data preprocessing, feature engineering, and model training. Built a machine learning model to predict camera prices based on specifications.
HackerRamp WeForShe Phase 1
Myntra
January 1, 2024 – Present
ML Pipelines in Cloud
MoBhiSure Solutions
January 1, 2024 – Present
Data Analysis Fundamentals
IBM SkillsBuild
January 1, 2023 – Present
Java Basic Programs
Great Learning
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying technology to solve problems, aligning with an innovative culture. The diversity of projects (ML-powered analysis, web scraping, price prediction) shows a willingness to explore different domains. Participation in certifications and extra-curricular activities suggests a proactive and engaged individual. However, the lack of professional experience limits the depth of this assessment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on defined tasks and integrate various technologies. Participation in sports clubs and competitions indicates potential for teamwork and discipline. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or advanced collaboration skills.