Python developer specializing in FastAPI, Streamlit, and AWS services, excelling in scalable applications and database management.
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my_portfolio_website
August 22, 2024 – August 22, 2024
my_portfolio_website — GitHub repository
View Projectgoogle_map_scraping_data
August 13, 2024 – August 13, 2024
Scraping data from Google Maps involves extracting information such as business names, addresses, phone numbers, ratings, reviews, and coordinates. This process is often used for market research, competitive analysis, or to populate databases with location-based data.
View ProjectEvent-Management-System-Django
July 11, 2024 – July 11, 2024
Event Management System using Django: Track, create, update, and delete events via RESTful APIs. Includes user authentication, MySQL database storage, and a dashboard for managing events. Designed with modular Django architecture for scalability and efficiency in organizing events.
View ProjectVivek-Mangukiya-Portfolio
July 10, 2024 – July 10, 2024
Vivek Mangukiya's Streamlit app is a sleek digital portfolio showcasing his skills in Python, FastAPI, Django, AWS, and more. It features animated styling with sections for contact info, skills, education, profile, experience, and projects, offering a dynamic overview of his expertise and professional journey.
View ProjectImage-Management-with-FastAPI-and-Streamlit
July 3, 2024 – July 3, 2024
ImageHub is a comprehensive web application designed to streamline the management of images using FastAPI for backend services and Streamlit for a user-friendly interface. This project integrates seamlessly with AWS S3 for secure image storage and retrieval, while leveraging MySQL for efficient database management.
View ProjectYahoo-Finance-Stock-Data-Display-Application-Using-Python-and-Streamlit
June 24, 2024 – July 5, 2024
This project is a web application built with Python and Streamlit to display and analyze stock data from Yahoo Finance. Users can select stocks, date ranges, and visualize historical prices, moving averages, and financial metrics. It leverages the yfinance library for data fetching and provides an interactive interface for detailed stock analysis.
View ProjectQuotes_App
June 10, 2024 – July 3, 2024
The User Quote Application is a FastAPI-based project for managing user-generated quotes, featuring full CRUD operations. It uses Docker for easy deployment and PostgreSQL for database management. This app provides a scalable and efficient way to create, read, update, and delete quotes.
View ProjectUser_Quotes_App-Api
June 8, 2024 – June 10, 2024
The User Quotes API in Python using FastAPI allows for managing and retrieving user-generated quotes efficiently. This API supports creating, reading, updating, and deleting quotes with RESTful endpoints, ensuring seamless CRUD operations. It leverages FastAPI's asynchronous capabilities for high performance and quick responses. The API includes in
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and backend-focused, with a strong emphasis on Python. While this demonstrates initiative and technical capability, the target role is 'Frontend Developer'. There is a significant mismatch in the primary skill set demonstrated (backend Python) versus the target role (frontend). The diversity of projects is good, but their relevance to a frontend role is limited. The candidate's portfolio project uses Streamlit, which is a Python-based framework for data apps, not a traditional frontend framework like React, Angular, or Vue.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to complete technical tasks, but no information on collaboration, problem-solving approach, or communication style is available.