Profilbillede af WaqasArshadChima
@WaqasArshadChima
Medlem siden 17. maj 2018
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WaqasArshadChima

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Asst. Prof at Department of Computer Sciences Academic Experience: 6 Years Research Experience: 5+ Years Machine Learning and Python Experience: 3 Years Online Tutoring Experience (American Schools): 1 Year Certified from IBM and Imperial College London in Machine Learning, Mathematics for Machine Learning and Python for Data Science. Research Publications in Thomson Reuters Masters Journal Impact Factor List Journals & International Conferences. Currently working as Asst. Prof in Computer Sciences. I have worked on multiple practical projects in various Machine Learning models and neural networks in Python and R. You can see my certifications in Machine Learning and Python from IBM and Imperial College London in my profile section. I have also multiple research publications in International Conferences and Journals. Through all this expertise and knowledge, i am here to provide you with the quality services in Data Analysis, Machine Learning and Research & report writing.
$20 USD/hr
14 anmeldelser
3.9
  • 81%Jobs udført
  • 98%Indenfor Budget
  • 98%Til Tiden
  • 12%Genansættelsesfrekvens

Portfolio

Nylige bedømmelser

  • billede af Muhammad Ali I. Project for Waqas A. -- 2 $10.00 USD

    “Professional 100%. He delivered his work in less than 1 day as he said. The code had 0 errors and he answered to all of my questions on time. I recommend this guy to anyone who wants to hire a skilled freelancer. I'll hire him again!”

  • billede af Jang J. Editing report $95.00 USD

    “True professional will definitely hire him again”

  • billede af Muhammad Ali I. Project for Waqas A. $10.00 USD

    “I am very happy working with him. The work was done in a very professional way. He delivered the work before time. .... I will definitely recommend and hire him again.”

  • billede af Cecilia K. Project for Waqas C. €250.00 EUR

    “Attention cheater. He says yes first. I do . I can do it .... after that disappears. No Answer. I paid 250 Eur for milestone 1. After the transfer, I could not reach him anymore. He is sometimes online / green. Please do not give a project !!! Danger...”

  • billede af Ali A. Project for Waqas A. -- 3 $300.00 USD

    “I recommend him and would work with him again!”

  • billede af Muhammad Uzair Z. Re writing related to machine learning $5.00 AUD

    “The worst freelancer I ever met on freelancer. I gave him the rewriting work. And he used the spinner and submitted me crap. Then uploaded my document on the internet. Now I have lost all my work and getting 100% plagiarism. Stay away from such fraud.”

Erfaring

Lecturer/Instructor (Undergrad/College)

Oct 2015

Instructor/Lecturer at Undergrad level in Department of Computer Science and IT

Lecturer/Instructor

Feb 2013 - Sep 2015 (2 years)

Instructor/Lecturer at Undergrad level in Department of Computer Science and IT

Uddannelse

Master of Science in Computer Science

2013 - 2015 (2 years)

Bachelors in Computer Engineering

2008 - 2012 (4 years)

Publikationer

Author’s Traits Prediction on Twitter Data using Content Based Approach

The paper describes the methods we have employed to solve the author profiling task at PAN-2015. The proposed system is based on simple content based features to identify an author’s age, gender and other personality traits. The problem of author profiling was treated as a supervised machine learning task. First content based features were extracted from the text and then different machine learning algorithms were applied to train the models.

A Corpus for Analyzing Text Reuse by People of Different Groups

Plagiarism; an un-attributed reuse of text, is very significant problem specifically for higher education institutions. Consequently, a number of automated plagiarism detection system have been developed to cater this problem. The comparison of these automated plagiarism detection systems is difficult sue to problem in collecting real cases of plagiarism by students / scholars.

"Multilingual SMS-based Author Profiling: Data and Methods"

This study aims to develop a multi-lingual (roman Urdu and English) SMS-based author pro le corpus to enable the development and evaluation of author pro ling techniques. Our corpus contains 816 author pro les with di erent traits information including gender, age, native city, native language, level of education, occupation, personality type (introvert or extrovert) and mobile network, having 84,055 SMSes in total.

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