Muhammad Noman

Muhammad Noman

$7/hr
Web Development in Python Django
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
28 years old
Location:
Aachen, North Rhine Westphalia, Germany
Experience:
2 years
Muhammad Noman SOFTWARE ENGINEER EXECUTIVE PROFILE: I have 1 year of experience in Python web Development. Currently I am pursuing Masters in data science from RWTH Aachen, Germany . I am interested in Web Development but I can hold my own in the field of Natural Language Processing (NLP), Data mining and Machine Learning, as well. I enjoy being challenged and engaging with projects that require me to work outside my comfort and knowledge set, as continuing to learn new languages and development techniques are important to me. SKILLS AND EXPERTISE Python Django MySQL JavaScript Jquery AWS HTML Data Analysis Hadoop Object oriented programming C++ JAVA Bootstrap ASP. net Node.js CONTACT INFORMATION Mobile: - Email:-LinkedIn: www.linkedin.com/in/muhamm ad-noman-49560b180 CERTIFICATIONS Google Cloud Platform Fundamentals: Core Infrastructure by Coursera What is Data Science? by IBM Big Data and Hadoop Essentials by Coursera Hadoop Starter Kit by Coursera AWS Fundamentals: Building Serverless Applications by Coursera AWS Fundamentals: Going Cloud-Native by Coursera EMPLOYMENT HISTORY Backend Python Development xiQ | Aug 2019- Aug 2020 Python Django Web Framework MySQL Jquery, bootstrap ACADEMIC BACKGROUND RWTH Aachen Masters in Data Science | 2020-present Graduated with a Degree in Managerial Accounting Magna Cum Laude Senior Thesis: A Really Long Title for a Thesis in Managerial Accounting Goes Here National university of computer and emerging sciences BS Computer Science |- Dean's Honor list GPA: 3.21 Executive Member, FAST Islamic revival society Member, Basketball team Jinnah Highs School A-level |- Maths, Physics and Chemistry Grades: 1A. 2B Studied on Scholarship PROJECTS Fake review Detection Final year project based on text classification for classifying fake review on amazon products. It was a research project. The techniques used were semi-supervised learning(PU-learning). NLTK and Sklearn libraries in Python were used. WeChat Desktop-based application for communication which includes file sharing, video and voice calling. Languages and tools used are JAVA, MySQL and Apache Tomcat. Car buying decision system Classification problem with 4 classes {unacceptable, acceptable, good, very good}. Coded Random forest algorithm in C++.
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