Imej profil HaseebYounis
@HaseebYounis
Penanda Pakistan Sheikhupura, Pakistan
Ahli semenjak 5 Mac 2017
0 Cadangan

HaseebYounis

Dalam Talian Luar Talian
I am a Data Scientist, Passionate Software Engineer, and Research Officer in fields of Machine Learning, Deep Learning, Natural Language Processing (NLP), and Bioinformatics. I hold a Masters's Degree as well as a Bachelors's Degree in Computer Science. My Master's thesis was in Bio-NLP. I have Research Publications related to my work and strong skills in the implementation of research articles and improving results. I believe in hard work and honesty. I complete my work before time. It'll be great fun to work with me.
$12 USD/hr
4 ulasan
2.6
  • 75%Kerja Diselesai
  • 82%Mengikut Bajet
  • 82%Tepat Pada Masa
  • 33%Kadar Ulang Upah

Item Portfolio

Ulasan Terkini

  • Imej Christine S. Data sciencie project [Sealed]

    “Thank you...i wll hire again”

  • Imej Ahmed Mamdouh Mohamed A. Project for Haseeb Y. $100.00 USD

    “Haseeb is really professional developer. I'm very satisfied with this work. I highly recommend him.”

  • Imej Hamed E. Project 25797375 has been deleted $30.00 USD

    “The project is not completed according to the dispute”

  • Imej Ahmed Mamdouh Mohamed A. Analysis of tweets of twitter. [Sealed]

    “Haseeb did a great job in deadline. He's an expert of data analysis. Highly recommended. Thanks a lot.”

Pengalaman

Data Scientist and Machine learner

Aug 2017

I am working here in projects related to data science, machine learning, computer vision, natural language processing and bioinformatics.

Pendidikan

MSCS

2017 - 2019 (2 years)

Kelayakkan

3 research paper publications (2019)

IEEE

3 conference paper publications in the field of deep learning and computer vision

Penerbitan

Object Segmentation in Video Sequences by using Single Frame Processing

Object segmentation, detection and tracking in videos is one of the most important task of computer vision. It is necessary in all of the real time deployed surveillance systems. Various unsupervised and semi-supervised video object segmentation techniques have been implemented and shown efficient results. But all of these techniques process all of the frames of a video sequence, which requires a huge training data and results in a large computational time.

Wheelchair Training Virtual Environment for People with Physical and Cognitive Disabilities

This paper introduces the virtual reality and Brain Computer Interface based environment for the powered wheelchair training of paralyzed persons. In this study, we have developed the environments that are configured with virtual reality and EEG devices (Emotiv Epoc+). Our results revealed that virtual reality based training of wheelchair controlled by EEG signal gives significantly positive feedback and results

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