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Member since December 24, 2014
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Myself Ferdous Bin Ali, would like to describe me as a problem solver rather than competitive programmer as I love to solve problems that draws my interest, not necessarily to be always a software solution. The problem might be just algorithm designing or designing embedded systems or just debugging existing solutions. In other words, I like to work in such jargons that require more research than conventional systems, willing to work in a substantial environment and prefer to work in a group.
$10 USD/hr
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Data Scientist

Mar 2018

I am currently working here to develop product recommendation system for our target user.

Junior Data Scientist

May 2017 - Aug 2017 (3 months)

I have worked on sentiment analysis for bangla language using deep learning techniques.

Software Engineer

Jan 2016

DataRobin is an analytic company specializing in Machine Learning (in particular, Deep Learning) Natural Language Processing Data Visualization.


BSc Engg. in CSE

2011 - 2016 (5 years)


Identifying miRNA-mRNA Interactions by a Combination of Spearman’s Rank Correlation and IDA

Standard methods for identifying miRNA-mRNA interactions requires chemical experiment which is very time consuming and costly. Therefore, researchers have been trying to find alternatives. Several computational methods are being developed to replace chemical experiments. Many computational methods show promising results. IDA is a computational method used to discover miRNA-mRNA regulatory relationships.

Histopathological Breast-Image Classification With Image Enhancement by Convolutional Neural Network

Finding malignancy from Histopathological images is always a challenging task. Recently, the state-of-the art Convolutional Neural Network (CNN) has largely been utilized for natural image classification. In this paper, using the advancement of CNN techniques, we have classified a set of Histopathological Breast images into Benign and Malignant classes, which can save doctors and physicians time and also allow patients a second opinion about the disease.


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