Nafa Abdul Rahman

Innovative Software Developer known for high productivity and efficient task completion. Skilled in C#,python, SQL,.Netframeworks and cloud computing, bringing focused solutions to complex software challenges. Excel at problem-solving, teamwork, and adaptability, ensuring seamless collaboration and project success.

Faa Bookings- Online Travel Booking Application

● Description : Faa Bookings is an iOnline Travel Booking Application, built with Python  and Django, provides a user-friendly platform for booking travel packages. With PostgreSQL for data management and HTML/CSS for responsive design, it features real-time search capabilities and personalized user accounts.This app streamlines the travel planning process, allowing users to effortlessly explore and manage their travel experiences in one convenient location.

●TechnologyUsed: Python,SQL,Django,Angular,PostgreSQl,HTML,CSS.

MyQuickkart - EKart Application

• Description : MyQuickKart is an innovative e-commerce platform offering a streamlined shopping experience with a diverse range of products across electronics, fashion, home decor, and more. Featuring a user-friendly interface, personalized recommendations, and secure transactions, MyQuickKart ensures convenience and safety with every purchase. Enjoy fast delivery, responsive customer support, and exclusive deals, all accessible through their mobile app for on-the-go shopping. Discover a new era of online shopping with MyQuickKart, where quality and convenience meet seamlessly.
• Technology Used : C#,.NetFrameworks,Asp.net,Angular,SQl,RozarPay,HTML,CSS,AWS.

PhonePe Pulse Data Analysis 2018-2022

• Description :PhonePe Pulse provides comprehensive data analysis spanning from 2018 to 2022, offering valuable insights into consumer behavior, transaction trends, and market dynamics within the digital payment ecosystem. The analysis covers key metrics such as transaction volumes, popular payment categories, regional trends, and adoption rates of digital payments across different demographics. It serves as a crucial resource for understanding the evolution and impact of digital payments in India over the past four years, highlighting growth areas and opportunities for stakeholders in the financial technology sector.
• Technology Used :Python,Pandas,streamlit,Plotly,matplotlib,GeoPandas,Requests,MysqlDB

Twitter Scrapping 

• Description : This project aims to scrape Twitter data using the snscrape library, store it in MongoDB, and display the scraped data in a GUI built with Streamlit. The user can enter a keyword or hashtag to search, select a date range, and limit the number of tweets to scrape. The scraped data is displayed in the GUI and can be uploaded to the database, downloaded as a CSV or JSON file.
• Technology Used :Python,Streamlit,MongoDB,Pymongo,pandas,Snscrape