Muhammad Muzamil | Competition Contributer at Kaggle

Muhammad Muzamil

Competition Contributer at Kaggle

Based in Doha, Qatar

About

My name is Muhammad Muzamil Rashid, I have 2+ years of work experience, I live in Lahore and am actively looking for frontend development and data science opportunity. My projects include website development, Data Analysis, Machine Learning, Data Manipulation, 3D-interactions and Data Collection. Every time I write a piece of code, I get the feeling I have created a piece of art. This deep interest has allowed me to experience multiple domains in computer science.

Skills

Projects

Ecommerce Website Using React

A simple feature-rich e-commerce cart with react. Made from scratch for a test during hiring process. Displays data from Graphql API, supports store-wide currency conversion and minimal design.

AI-Powered 3D React Website

This is an simple but quite great 3d website in which you can change the color of shirt using color picker and add logos on the shirt and AI touch you can generate and use images through DALLE AI

Sentiment Analysis with NLKT using Roberata - Hugging Face

Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. Today, companies have large volumes of text data like emails, customer support chat transcripts, social media comments, and reviews.

Predicting Whether or not Someone has Heart Disease using ML and Data Science Libraries with Python

Portfolio Website

Portfolio Website made with React and published it in GitHub Pages

Experience

May 2021 - August 2021

Frontend Developer Intern at Systems Limited

Closely worked with UX designers to meet the requirements of the customers. Worked on design of Ecommerce Websites, Portfolio Websites, single page Websites, 3D Websites with eye catching animations and AI-Powered Websites to make websites more smart and user-friendly.

March 2022 - December 2022

Data Scientist at Spyresynce

Worked on Large Datasets and perform data cleansing and analyze the data, Model were build to predict the Whether the loaner can get the loan after viewing their past history, 87% accuracy were achieved, Technologies and tools used Matplotlib, Numpy, Jupyter, Scikit-Learn, Pandas, Keras The goal of project was to automate the loan process for construction projects and monitor the progress for that Dashboard were build on Power BI to get insight of data visually.

December 2022 - Present

Competitions Contributor at Kaggle

Taking part in new competitions and learning from the best in the field.

Education

2018-2022

Bachelors in Computer Science

Popular areas in computer science include: 1- Machine learning 2- Robotics 3- Security 4- Software engineering 5- Systems/networking 6- User interfaces and graphics