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Fullstack Engineer with less than a year in Python, Node.js & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresher IT graduate with skills in Python, SQL, and backend development technologies like Node.js, Express.js, Flask, REST APIs, along with frontend technologies like HTML5, CSS3, Tailwind CSS, and Bootstrap. Familiar with MongoDB and MySQL. Big Data tools like Apache Spark, PySpark, and basic Machine Learning and data analysis. Strong foundation in networking concepts including IP addressing, subnetting, routing, switching, VLANs, and DHCP.
Tilak Maharashtra Vidyapeeth
Masters of Computer Application in Data-Science · Data-Science
August 1, 2023 – June 30, 2025
Sonopant Dandekar Shikshan Mandali
Bachelors Of Science in Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Lokmanya High School and Junior College
HSC
June 1, 2018 – May 31, 2020
MBBI Educational Academy
SSC
N/A – May 31, 2018
LMS (Learning Management System) using MERN Stack
June 24, 2026 – Present
Built a scalable Learning Management System (LMS) using the MERN stack (MongoDB, Express.js, React.js, Node.js), ensuring modern, responsive, and efficient performance. Implemented features such as user authentication, course creation, content management, and real-time interaction to enhance the learning experience. Optimized system architecture for smooth data handling and improved accessibility, supporting seamless delivery and management of educational content.
Jarvis Chatbot
June 24, 2026 – Present
Developed a Jarvis-like AI chatbot using Python and Eel, integrating voice interaction, custom automation features, and a web-based UI. Implemented real-time voice commands and response handling for interactive assistance. Built a web-based user interface with Eel, connecting a Python backend to HTML/CSS/JS frontend. Automated system tasks and enhanced usability with a modern, desktop-app-like experience.
RFID-Based Attendance System (Academic Project)
June 24, 2026 – Present
Developed an automated attendance system using RFID to eliminate manual entry errors. Used RFID readers and tags to identify users and log attendance into a database. Built using Arduino, RC522 RFID module, and LCD for real-time feedback. Implemented accurate time-stamped entry logging and basic report generation.
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from web development (LMS) to embedded systems (RFID) and AI/automation (Jarvis Chatbot). While these projects demonstrate technical curiosity and a breadth of skills, they do not directly align with the specialized nature of a Network Infrastructure Engineer role, except for the explicitly listed networking skills. The candidate is a fresher, which means they are likely adaptable and eager to learn, but their current project experience doesn't strongly indicate a deep passion or extensive practical experience specifically in network infrastructure beyond theoretical knowledge.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on structured academic projects and personal initiatives. The 'Jarvis Chatbot' project indicates an interest in automation and user experience. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.