Ashish Nakhate

ABOUT

- 🔭 I’m currently working on ... Datastructure And Algorithms

- 🌱 I’m currently learning ... C++

- 🤔 I’m looking for help with ... Web Development

ACHIEVEMENTS

Hackathon

Code Storm. Sep 2024

• Participated in Code Storm, a hackathon organized by the Sanguine Student Organization under the aegis of the Department of Student Organization, Division of Youth Affairs, and Student Welfare Wing at Lovely Professional University, in collaboration with Microsoft Learn Student Ambassadors (MLSA) under Microsoft. The project involved developing a website that extracts data from text and assesses its compliance with specified requirements.
• Leveraged front-end and back-end frameworks to build an interactive and user-friendly interface, demonstrating skills in web development, teamwork, and innovative problem-solving.

PROJECTS

Food Donation App | MERN Stack, Responsive Web Design

Aug 2024

• Developed a cloud-based food donation web application enabling users to donate surplus food and recipients to claim available listings in their area.
• Implemented dynamic data storage using MongoDB, with user authentication, secure profile management, and functionality for adding, updating, and viewing food listings.
• Utilized the MERN stack to create a responsive, user-friendly interface with backend REST APIs for seamless data management, ensuring efficient food donation and retrieval processes.
• Deployed the application on Heroku, leveraging cloud infrastructure to ensure scalability.
• Github Repository Link: https://github.com/ashishnakhate2001/food-donation

Web Series Recommendation System | Python3, Numpy Pandas, Cosine Similarity

March 2024

• Developed a web series recommendation system using Python3 and Flask, designed to suggest series based on user preferences and viewing history.
• Leveraged data manipulation libraries like Numpy and Pandas to preprocess and analyze dataset features, ensuring accurate recommendation results.
• Implemented cosine similarity to measure content similarity and generate tailored recommendations based on user interests.
• Built an interactive, user-friendly interface with Flask, allowing users to receive recommendations in real-time.
• Github Repository Link: https://github.com/ashishnakhate2001/Web-series-Recommendation-System

CERTIFICATES

MEAN Stack by Building Real world Application

July 2024

• Hands-on certification course in MEAN Stack development, building a real-world application to master MongoDB, Express.js, Angular, and Node.js. Gained practical experience in full-stack development, backend API integration, and frontend design for scalable web applications.
• Coursera — https://www.coursera.org/account/accomplishments/specialization/C7SLWUUP57C6