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Alhasan A.

@alhassanlatif

5.0
19
4.7
4.7
92%

Data Scientist and Programmer

$20 USD / Hour
Flag of
Egypt (6:10 AM)
Joined on July 8, 2017
$20 USD / Hour
I have experience in Programming more than 10 years. Programming in MATLAB, Python, C++ and Java . Machine learning algorithms ( Deep learning, SVM, .. ) Data Science problems ( classification, regression, processing, .. ) Microsoft Access , MS Excel, VBA and MySQL Mathematics , MATLAB See my work below. You can rely on me to get your work done with quality and in time :).
Verifications
On time
100%
On budget
85%
Accept rate
93%
Repeat hire rate
12%

Portfolio

Portfolio

5453686
3667743
3620147
3580148
3551055
3550527
5453686
3667743
3620147
3580148
3551055
3550527
Changes saved
5.0 · 19 Reviews
Reviews
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Great communication. Eager to change database to satisfy requirements.
Alexander N.
@alexandegn
Flag of
Bethesda, United States
6 years ago
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Did an excellent job. Very pleased indeed.
Samuel K.
@lurdsammie
Flag of
York, United Kingdom
6 years ago
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Very good at his job. Further work with Alhasan booked
Samuel K.
@lurdsammie
Flag of
York, United Kingdom
6 years ago
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J
Very professional and delivered the code on time. We will be in contact for sure for new projects.
Javier C.
@jachagui84
Flag of
Baku, Azerbaijan
6 years ago
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J
Awesome work. I would recommend.
Nicolas M.
@jeanvaljean1
Flag of
New York, United States
7 years ago
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Experience
Programming competions
Jan, 2016 - Jul, 2017
1 year, 6 months
ACM and IEEE Xtreme
Jan, 2016 - Jul, 2017
1 year, 6 months
I have participated in international programming contest
Jan, 2016 - Jul, 2017
1 year, 6 months
Education
Universitat Politècnica de Catalunya
2018 - 2019
1 year
Master of Science in mathematics
Flag of
Spain
2018 - 2019
1 year
Engineering in Communication and information
2013 - 2018
5 years
Flag of
Egypt
2013 - 2018
5 years
Publications
Comparison of Nearest Neighbor Condensing Methods to scale up SVM for Large Data Sets
International Journal of Pattern Recognition and Artificial Intelligence
In this paper, various efficient condensing methods were compared to know which is best in time and in accuracy to classify certain large data sets using SVM with various parameters.
Certifications
US English - Level 1
US English
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