Aspiring Full-Stack Developer with .NET Expertise

Pramukh Prajapati

******************@*****.*** +91-760******* Kapadvanj

https://github.com/pramukhprajapati17 www.linkedin.com/in/pramukhprajapati17 CAREER OBJECTIVE

Aspiring web developer with a strong foundation in Core Dotnet, seeking Full time opportunity to apply and enhance my skills in backend development and web technologies. Eager to contribute to building efficient, secure, and scalable web applications that support the company’s growth.

WORK EXPERIENCE

Artificial Intelligence (AI) • Internship Dec 2024 - Jan 25 Aicte, Virtual

I successfully completed a 6-week internship on Artificial Intelligence in collaboration with AICTE, implemented by Edunet Foundation. During this internship, I learnt sentiment analysis in NLP and built a restaurant reviews sentiment analysis project. I led the development of the model to analyze customer feedback, extracting insights using natural language processing techniques. Additionally, I drove the implementation of data preprocessing and model optimization to enhance accuracy. This experience strengthened my understanding of AI, NLP, and machine learning applications in real-world scenarios. Full Stack Development • Internship Jan 2026 – A p r 2 6 Casepoint Surat, Offline

I successfully completed a 4-Month internship at Casepoint, Surat, where I worked on building modern web applications using technologies such as ASP.NET MVC, C#, Kendo UI, SQL Server, and REST APIs. During this internship, I developed a digital wallet system for secure money transactions, gaining hands-on experience in payment processing, user authentication, and full-stack development. Throughout the program, I strengthened my understanding of secure coding practices, database optimization, and scalable application architecture. I also worked with tools like Git for version control and followed industry-standard development practices, which enhanced my ability to build robust and maintainable enterprise applications. This experience significantly improved my technical and problem-solving skills, preparing me for real-world software development challenges. EDUCATION

Bachelor of Engineering (B.E), Computer Science s Engineering 2022 - Pursuing Sardar Patel College Of Engineering, Bakrol.

CGPA: 8.09/10

Senior Secondary (XII), CBSE

Science

Jawahar Navodaya Vidyalaya Anand

Percentage: 70.80%

2022

Secondary (X), CBSE 2020

Jawahar Navodaya Vidyalaya Anand

Percentage: 71.60%

TRAININGS / CERTIFICATIONS

Code Unnati Program Advance Course

Aug 2024 - Apr 2025

Edunet Foundation, Bakrol

Successfully completing the training on Emerging

Technologies (Machine Learning, Internet of Things, and Computer during 2024- 2025 under Code Unnati Program, a CSR initiative of SAP and implemented by Edunet Foundation. Code Unnati Program Foundation Course

Jul 2023 - Jun 2024

Edunet Foundation, Bakrol

Successfully completed training under the Code Unnati Program at Sardar Patel College of Engineering, covering Python Programming, Data Analysis with Python, Artificial Intelligence, and SAP Conversational AI Chatbot. Gained hands-on experience in developing AI-driven solutions and data-driven applications as part of this CSR initiative by SAP, implemented by Edunet Foundation.

PROJECTS

Wellfit

Mar 2026 - Apr 2026

Developed a web-based fitness management platform that streamlines gym operations and enhances user experience by enabling online class bookings, trainer scheduling, and membership management. The system allows users to easily browse fitness programs, book sessions, and manage their profiles, while admins can efficiently handle schedules, users, and payments.

The platform improves operational efficiency by digitizing appointment workflows and ensuring seamless communication between users and trainers. It also incorporates secure authentication and responsive design for accessibility across devices.

Tech Stack: ASP.NET MVC, C#, SQL Server, Kendo UI, JavaScript, HTML, CSS, Elastic Search, Redis, RabbitMQ Sentiment Analysis on Resturant Review

Jan 2025

This sentiment analysis on restaurant reviews project leverages NLP and machine learning to classify customer reviews as positive or negative. Using CountVectorizer for feature extraction and a Naive Bayes classifier, the model predicts sentiments, providing insights for restaurant improvements. Word clouds and bar charts visualize key terms influencing sentiment. The project runs on Google Colab with pandas, NLTK, scikit-learn and matplotlib. Future improvements include multi- class classification and deep learning models. This tool helps businesses enhance customer experiences through data-driven insights and sentiment visualization.

SKILLS

• HTML

• JavaScript

• Jquery

• BootStrap

• Redis

• PostreSQL

• Python

• CSS

• RabbitMQ

• Problem Solving

• Dotnet

• Elastic Search

• Kendo UI

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