Rahamtullah Sheikh

Email
sheikh856591@gmail.com
Phone
+91 7905723844
Birthday
Fab 02, 2004
Location

Delhi , INDIA

About me

I'm Rahamtullah Sheikh, a recent graduate with a Bachelor's degree in Computer Science Engineering from Chandigarh University. With a passion for technology and problem-solving, I have honed my skills in C++, Java, and Python. My experience spans web development, machine learning, and software testing, reflecting my versatility and eagerness to learn. I thrive in collaborative environments, demonstrated by my leadership and management skills. I'm enthusiastic about starting my career as an entry-level software engineer, aiming to contribute to innovative projects and grow within a reputed tech-driven firm. In my free time, I enjoy traveling, listening to music, and reading.

What i'm doing

Web design

The most modern and high-quality design made at a professional level.
Web development

High-quality development of sites at the professional level.
Mobile apps

Professional development of applications for iOS and Android.
Photography

I make high-quality photos of any category at a professional level.

Get My Resume

Get Resume
Download Resume

Resume

Education

Chandigarh University

Bachelor's in Computer Science Engineering
2020 — 2024
Graduated with a 7.42 CGPA, developing strong design and integration skills, and excelling in problem-solving using C++ and Java.
SBM Inter College
2018 — 2020
Completed Intermediate with a focus on Science, achieving a 67% score.
MSI Inter College
2016 — 2018
Completed Matriculation, securing a 71% score.

Experience

Nazim Overseas Using HTML, CSS & JavaScript
December 2022 — January 2023
Designed and developed a fully-functional website for Nazim Overseas using HTML, CSS, and JavaScript. Implemented responsive design principles to ensure optimal viewing experience across a range of devices. Incorporated interactive features such as dropdown menus, image carousels, and contact forms to enhance user engagement. Project Link
House Price Prediction Using Machine Learning
January 2022 — May 2022
Gathered and preprocessed real estate data to prepare it for machine learning algorithms. Developed a machine learning model using Python and Scikit-learn to predict house prices based on various factors such as location, size, and amenities. Created a responsive web application for house price prediction using HTML, CSS, and JavaScript for the frontend and Python and Scikit-learn for the backend.
Algorithms used: Linear Regression. Github Repository