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Sk Ahammad Fahad

Sk Ahammad Fahad
ChalDal Limited · Data Science

Master of Science in ICT

About

16
Publications
18,027
Reads
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113
Citations
Citations since 2017
13 Research Items
113 Citations
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Introduction
As a Data Scientist, I have the experience to play with a diverse dataset. I have experience as a Data Scientist for the Largest retail Chain in Bangladesh (ACI Logistics Limited). After that, I join the largest Online Grocery in Bangladesh (Chaldal.com). With a Master's degree in ICT, I accomplish lots of courses, specialization, and professional certificate programs from top institutions all over the world. I have done meaningful comprehending research with publications.
Additional affiliations
October 2020 - present
ChalDal Limited
Position
  • Analyst
February 2020 - August 2020
ACI Logistics Limited (Shwapno)
Position
  • Analyst
Description
  • All Data Science operations including Modeling and finding Insight.The specialized project including design Forecasting, Customer segmentation, Market Basket Analysis, and so on.
August 2018 - January 2020
Chips & Bytes
Position
  • Analyst
Description
  • Data Solution for Corporate Clients and Business elegant Solution. My primary responsibility was error Handling for the developed model.
Education
September 2015 - December 2017
Al-Madinah International University
Field of study
  • Information and Communication Technology
January 2011 - April 2015
IBAIS University
Field of study
  • Computer Science & Information Technology

Publications

Publications (16)
Chapter
There is a huge amount of data creating during the fourth industry revaluation and the data are generating explosively by various fields of the Internet of Things (IoT). The organizations are producing and storing the huge amount of data into the data servers every moment. This data comes from social media, sensors, tracking, website, and online ne...
Article
Full-text available
Web technology is currently used in all daily activities and is considered a backbone of life. The amount of information continuously increases and grows, specifically that of unstructured information that has no rules or constraints. Such information is difficult to handle and thus requires organization and management before it can be useful. Info...
Conference Paper
Full-text available
In the age of knowledge, Natural Language Processing (NLP) express its demand by a huge range of utilization. Previously NLP was dealing with statically data. Contemporary time NLP is doing considerably with the corpus, lexicon database, pattern reorganization. Considering Deep Learning (DL) method recognize artificial Neural Network (NN) to nonlin...
Conference Paper
Full-text available
Database conversion is a process to transfer data from one database to another along with its structure. Since there are many database systems created by organization or individuals, such systems can be in diverse types such as Access, Oracle and MySql. The progression in technology requires some systems to be upgraded to a newer system (e.g. addin...
Conference Paper
Full-text available
the massive volume of data in databases, web pages, and document files usually causes information to be disorganized and unclear for the user. Therefore, information in such an environment can be classified into three forms: structured, semi-structured, or unstructured. Structured information is the best form of information because it facilitates t...
Conference Paper
Full-text available
A tremendous amount of data comes with a vast amount of knowledge. Decent use of the persistent information can assist to overcome provocations and support to establish further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand times reliable rather than textual representation. The premature data visu...
Presentation
Full-text available
A tremendous amount of data comes with a vast amount of knowledge. Decent use of the persistent information can assist to overcome provocations and support to establish further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand times reliable rather than textual representation. The premature data visu...
Presentation
Full-text available
In the age of knowledge, Natural Language Processing (NLP) express its demand by a huge range of utilization. Previously NLP was dealing with statically data. Contemporary time NLP is doing considerably with the corpus, lexicon database, pattern reorganization. Considering Deep Learning (DL) method recognize artificial Neural Network (NN) to nonlin...
Article
Full-text available
The utilization of textual documents is spontaneously increasing over the internet, email, web pages, reports, journals, articles and they stored in the electronic database format. It is challenging to find and access these documents without proper classification mechanisms. To overcome such difficulties we proposed a semantic document clustering m...
Thesis
Full-text available
Now the age of information technology, textual document is spontaneously increasing over the internet, e-mail, web pages, offline and online reports, journals, articles and they stored in the electronic database format. Millions of new text file created in a day, but for the proper classification, people miss vast information those are useful to se...
Presentation
Full-text available
Now the age of information technology, textual document is spontaneously increasing over the internet, e-mail, b pages, offline and online reports, journals, articles and they stored in the electronic database format. Millions of new text file created in a day, but for the proper classification, people miss vast information those are useful to seve...
Article
Full-text available
Now the age of information technology, the textual document is spontaneously increasing over online or offline. In those articles contain Product information to a company profile. A lot of sources generate valuable information into text in the medical report, economic analysis, scientific journals, news, blog etc. Maintain and access those document...
Article
Full-text available
Amount of data is getting bigger in every moment and this data comes from everywhere; social media, sensors, search engines, GPS signals, transaction records, satellites, financial markets, ecommerce sites etc. This large volume of data may be semi-structured, unstructured or even structured. So it is important to derive meaningful information from...
Thesis
Full-text available
Emergence of modern techniques for scientific data collection has resulted in large scale accumulation of data pertaining to diverse fields. Conventional database querying methods are inadequate to extract useful information from these huge amounts of data. The absence of category information distinguishes data clustering (unsupervised learning) fr...

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