Nur Aishah A. Profile

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.NET

C# Programming

Cloud Computing

Machine Learning (ML)

Python

5,0

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$20 USD / час

melaka,

malaysia

$20 USD / час

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Nur Aishah A.

@nuraishahrazak

5,0

(1 отзыв)

2,7

100%

$20 USD / час

melaka,

malaysia

$20 USD / час

100 %

Завершенных работ

100 %

В рамках бюджета

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Software Developer . Machine Learning . AI

Hi there! I would like to help you translate your business needs into solutions. With more than 10 years experience in Software Development and IT Consulting, I have a knack of not just developing Software but also getting very good understanding of business workflows and coming up with end-to-end solutions. I have worked on numerous Desktop Applications (Windows Forms, WPF, WCF web services) and Web Applications (.NET MVC, .NET Core, Backbone, Angular, Azure, GCP, Flask) (hosted both on-prem and on cloud) in my professional life. I am also experienced in Artificial Intelligence - specifically in Computer Vision and Deep Learning. Do drop me a note if you'd like to discuss possible opportunities. I'd be happy to have a quick chat with you.

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These are data analysis and visualizations I developed for my research that looks at one facet of predicting the spread of Covid-19 cases by looking at the relationship between government policies being put in place and the total number of cases by utilizing Machine Learning techniques.

Data Analysis & Visualization for Covid19 Government Measure

This is a Flask App for analysing Malay Language Morphology. The main advantage of this analyzer is the ability to morph a word into a noun or verb by adding prefixes to the word.

Other advantages of the analyzer I created is that it considers edge cases like the word ‘ajar’ that has different prefix to use (‘pe-‘) and one syllable word like ‘bom’ that uses ‘menge-‘ and ‘penge-‘ prefix. This analyzer is also able to change a word into a intransitive verb e.g. ‘berlari’ by prefixing ‘ber-‘ to the input word.

NLP: Malay Language Morphology Analyser

Ontology Project: Companies' Named Entity Extraction

The thesis seeks to demonstrate how transfer learning from macro-expression database in a lightweight network can achieve high Micro-Expression Recognition (MER). The proposed MER model is developed from truncated EfficientNet-B0 model that is pre-trained on a macro-expression database before fine-tuned on the CDE dataset. A simple algorithm-tuning that manipulates the loss function is suggested to deal with the imbalanced dataset. The resulting model is considerably small with just 867K parameters. Experimental results using Leave-One-Subject-Out cross validation show substantial performance increase compared to the state-of-the-arts with UF1 score of 0.98 and UAR score of 1.77.

The images attached shows the pre-processing steps done to a sample of the dataset.

Thesis: Lightweight Micro-Expression Recognition

EMSDB.IO web application

Ergonomics Assessment Tracking Tool (EATT):
- Allows users to submit ergonomics self-assessments
- Allows Ergo Contacts to view the submitted self-assessments and input his/her observations and action items
- Allows tracking of observations and action items
- Dashboard to view critical cases at a glance for Ergo Contact

EATT Web application

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5,0

$225,00 USD

Test and edit Python codes

She delivered great work with minimum instruction! Compled all tasks in 1/2 time allowed. Well communication, will hire again!

Python

Machine Learning (ML)

Big Data

NLP

Hoang N.

@hngu178

•

1 год назад

Опыт работы

Techylimpics

июн. 2022 - Настоящее время

• Advises and oversees on training materials and competition details such as the activities, judging criteria and source materials for the Artificial Intelligence competition track

UKM

февр. 2020 - мар. 2022 (2 года, 1 месяц)

• Masters study in Artificial Intelligence with thesis focusing on automatic and lightweight micro-expression recognition model utilizing transfer learning from macro-expression database. The proposed model is based on EfficientNet-B0 model that is truncated with only 867k parameters. LOSO cross validation has surpassed the state-of-the-arts with UF1 score of 0.98 and UAR score of 1.77. • NLP project : N-Gram tokenizer from scratch

AirAsia

мар. 2021 - дек. 2021 (9 месяцев, 1 день)

- Lead, managed and groom requirements for the Health Travel Pass project - Worked on enhancing counter check-in application (Angular/ GCP / .NET API) to include vaccination checks etc - Built web application to capture, annotate, store and retrieve travel documents (ReactJS / NodeJS)