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Fullstack Engineer with less than a year in Python Development & Web Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Engineering graduate with strong knowledge of Python development, backend technologies, and full-stack web applications. Skilled in building scalable applications, RESTful APIs, and data-driven solutions using Python and modern development tools.
Bhivarabai Sawant Institute Of Technology And Research
Bachelor of Engineering · Computer Engineering
December 1, 2021 – June 30, 2025
Pandit Jawaharlal Nehru High School and Junior College, Togari
Higher Secondary Certificate
N/A – May 31, 2021
Model English School, Udgir
Secondary School Certificate
N/A – May 31, 2019
Student Performance Prediction System
June 22, 2026 – Present
Developed a machine learning-based system to predict student academic performance using Python. Performed data preprocessing, cleaning, and exploratory data analysis using Pandas and NumPy. Implemented regression and classification algorithms using Scikit-learn for prediction analysis. Visualized trends and analytical insights using Matplotlib for better understanding of data. Improved model performance through feature selection and evaluation techniques. Generated reports and prediction outputs for efficient academic analysis.
Blogging Website (MERN Stack)
June 22, 2026 – Present
Developed a full-stack blogging platform using MongoDB, Express.js, React.js, and Node.js. Designed responsive frontend pages with smooth navigation and dynamic content rendering. Built RESTful APIs for user authentication, blog creation, updating, and deletion. Integrated MongoDB database for efficient storage and retrieval of blog data. Implemented secure login functionality and CRUD operations for posts and comments. Improved overall user experience with responsive UI components and structured layouts.
Amazon and Myntra UI Clones
June 22, 2026 – Present
Built responsive e-commerce interfaces using HTML, CSS, Bootstrap, and JavaScript. Developed product listing pages, shopping cart UI, navigation bars, and search functionality. Created visually appealing layouts with responsive and mobile-friendly web design practices. Used Bootstrap components and custom CSS styling for better user interaction. Enhanced frontend performance and user experience through optimized page structures.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest from web development to machine learning, indicating adaptability and a willingness to explore different technical domains. The MERN stack project aligns well with a Fullstack Engineer role, showing initiative in building complete applications. The academic project in machine learning also shows a diverse skill set. However, the lack of professional experience means cultural fit is primarily assessed on project diversity and stated soft skills, which appear positive but require further validation.
Soft Skills & Operational Fit
The candidate lists strong analytical thinking, problem-solving, good communication, collaboration, and familiarity with debugging/testing. These are positive indicators for operational fit, though practical demonstration would be required to validate these claims.