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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Engineer with less than a year in Node.js, Vue.js, ReactJS, and DevOps practices.
Aditya Rajendra Wadje is an aspiring full-stack developer currently pursuing a Bachelor of Engineering in Information Technology. He possesses strong skills in various programming languages, frameworks like ReactJS, Vue.js, Node.js, and Django, and is proficient with databases such as MongoDB and SQL. With practical experience as a Full Stack Developer and Software Development Engineer intern, he is adept at building scalable backend services, developing responsive UI, and integrating DevOps practices. His project experience includes MERN stack applications, college recommendation systems, and a software prediction tool.
VIDYAVARDHINI COLLEGE OF ENGINEERING, MUMBAI
BE · INFORMATION TECHNOLOGY
December 1, 2021 – May 1, 2025
SHRI SHIVAJI SECONDARY & HIGHER SECONDARY SCHOOL, NANDED
HSC
N/A – May 31, 2021
МАНАТМА PHULE HIGH SCHOOL, NANDED
SSC
N/A – May 31, 2019
WIZZER ADVISORTECH PVT LTD
FULL STACK DEVELOPER
August 4, 2025 – Present
Mumbai, Maharashtra, India
BLUESTOCK FINTECH
SOFTWARE DEVELOPMENT ENGINEER
August 1, 2024 – November 1, 2024
Pune, Maharashtra, India
MERN INTEGRATION
May 1, 2026 – Present
Developed a website for sharing startup business ideas, allowing users to explore and post their own ideas for starting a company. The platform also facilitates communication between users to collaborate and network, similar to LinkedIn. This project encourages entrepreneurial connections and idea sharing.
View ProjectCOLLEGEWAY
May 1, 2026 – Present
I contributed to a project that utilizes a content-based recommendation model to assist users in finding suitable colleges. My role focused on creating a responsive and user-friendly interface, ensuring seamless interaction with the recommendation system. The platform simplifies the college search process with personalized suggestions.
SOFTWARE PREDICTION TOOL
May 1, 2026 – Present
Developed a Software Prediction Tool using machine learning to estimate project effort and cost from historical software metrics. The tool processes input features like lines of code and function points, applies regression models, and predicts project parameters. Built with Python, pandas, and scikit-learn to assist managers in accurate, data-driven planning.
SQL (ADVANCED)
Hackerrank
May 1, 2026 – Present
Node.JS (Intermediate)
Hackerrank
May 1, 2026 – Present
Internship Completion
Bluestock Fintech
November 1, 2024 – Present
Cultural Fit Analysis
The psychometric test score of 0/500 raises serious concerns about cultural fit, including aspects like work attitude, stress handling, and team collaboration. Without further data, this score suggests a high risk in these critical areas.
Soft Skills & Operational Fit
Based on the psychometric test score of 0/500, there are significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. This indicates a potential mismatch with operational fit and soft skill expectations, requiring substantial development.