Hi. I'm Nahiyan Bin Noor.

LinkedIn Google Scholar UAMS UAMS UAMS

I am a Data Scientist, with expertise in machine learning, data visualization, data analysis and Microsoft SQL Server. I am a certified user of COSMOS Data Model by EPIC. I have worked on a variety of projects ranging from healthcare to finance. My goal is to use data to solve complex problems and help organizations make data-driven decisions that improve their bottom line. Feel free to explore my portfolio and get in touch with me if you have any question.

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Experience

A brief overview of my professional background and skills.

Intermediate Data Analyst

Institute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR
Jun 2023 - Present

Data Scientist

Department of Veterans Affairs, Little Rock, AR
Aug 2023 - Present

Data Scientist

Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Research Center, UALR, Little Rock, AR
Aug 2021 - May 2023

Data Science Intern

Data Glacier, Remote
Summer 2022

Electrical Data Analyst

Renata Limited, Bangladesh
Nov 2019 - Jul 2021

Here’s some projects I worked on.

SQL Python

Analysis of Modalites of Care for Mental Health

Differential Impact of Audio vs. Audiovisual vs. In-person Healthcare Visits on Quality of Care by Race/Ethnicity, Rural/Urban, and Socioeconomic Status among Patients with Mental Health Disorders

Python Web ScrapingMachine Learning

Toxicity on Social Media (Reddit, Twitter)

Developed and trained a predictive model to analyze text data and accurately predict the probability of the next comment in a conversation being toxic or non-toxic, achieving an impressive accuracy rate of 83%

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Python Machine LearningNLP

Predicting Toxicity on Music Lyrics

This project demonstrates the configuration using the lyric data set along with TF-IDF vectorization and Ensemble of Logistic Regression, Support Vector Machine and Decision Tree as an algorithm surpasses all other designs with 94% accuracy.

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Publications

A selection of my research papers and articles.

Comparative study between decision tree, SVM and KNN to predict anaemic condition

IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) - 2019

Anemia, a disease which is caused by an inadequacy of hemoglobin or red blood cells in the blood. It is very risky at the time of pregnancy, menstruation and in ICU sometimes causing death. Read more

An efficient technique of hemoglobin level screening using machine learning algorithms

4th International Conference on Electrical Information and Communication Technology (EICT) - 2019

Hemoglobin (Hb), a very significant parameter for the human body and deficiency of it causes anemia. During pregnancy, menstruation and ICU deficiency of it can be very risky and even caused death. Read more

Comparing Toxicity Across Social Media Platforms for COVID 19 Discourse

The Ninth International Conference on Human and Social Analytics (HUSO) - 2023

The emergence of toxic information on social networking sites, such as Twitter, Parler, and Reddit, has become a growing concern. Consequently, this study aims to assess the level of toxicity in COVID-19 discussions on Twitter, Parler, and Reddit. Read more

Toxicity and Networks of COVID-19 Discourse Communities: A Tale of Two Social Media Platforms

ROMCIR 2023: The 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval - 2023

The issue of hateful or toxic content on social media platforms such as Twitter and Parler is on the rise and demands attention. The aim of this research is to compare and analyze toxicity between Twitter and Parler Read more

An Efficient Technique of Predicting Toxicity on Music Lyrics Machine Learning

International Conference on Electrical, Computer and Communication Engineering (ECCE) - 2023

It is widely accepted that music is humanity's universal language since it can spread happiness and excitement throughout people's lives. Music is a form of art that is highly regarded worldwide. Read more

Media Coverage

Featured Articles Published

Education

Master of Information Science

University of Arkansas at Little Rock, May 2023

Relevant Coursework: Analysis of Algorithms, Artificial Intelligence, Operating Systems, Digital Image Processing, Engineering Statistics, Linear Algebra, and Social Computing.

CGPA: 3.90/4.00

Graduate Certificate in Data Science

University of Arkansas at Little Rock, May 2023

Relevant Coursework: Database System & Info Arch., Data Protection & Privacy, Data Science & Technology, Information Visualization.

CGPA: 4.00/4.00

B.Sc. in Electrical & Electronic Engineering

Chittagong University of Engineering & Technology, October 2019

CGPA: 3.54/4.00

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