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Aulia Salsabila

Halo, My name is Aulia Salsabila

I achieved a bachelor of science degree at Mathematics Department  in field of Mathematical Computation from Sriwijaya University. I have experience over the years with databases, web-based applications, back-end, front-end, data science, machine learning, deep learning, image processing, and natural language processing. I also contribute in writing and publishing research in the form of scientific publications.

About Me I had constantly demonstrated an strong desire to learn during my years of college studies. I put in a lot of effort, look for challenging coursework, and have a remarkable  capacity for fulfilling responsibilities in a wide range of activities. 

Get to know me!

Hey! It's Aulia Salsabila and I'm a Fullstack Web Developer and Data Scientist located in Jambi. I've done remote projects for my final assignment is my college collaborated with talented people to create web application, doing research and publish it into national and international journal for business and contribute in developing technology.

Contact

My Skills

HTML
CSS
JavaScript
Phyton
PHP
SQL
GIT
Streamlit

Projects Back-End and Front-End Web Here are my projects building a website

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Movies and Musical Online Reservation Web Application

Movies and Musical Online Reservation adalah website pemesanan tiket musikal atau tiket film secara online.

Case Study
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BookShelf API with JavaScript

Bookshelf API adalah API Web Application Rak Buku menggunakan Bahasa Pemograman JavaScript yang sudah lulus test Postman.

Case Study
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Deploy Optic Disc and Optic Cup Image Segmentation into Web Application Using Streamlit

A Web App to separate Optic Disc and Optic Cup part in Retina into an object and background

Case Study

Projects Data Science and Publications Here are my projects doing some research and publications

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A Combination of Image Enhancement and U-Net Architecture for Segmentation in Identifying Brain Tumors on CT-SCAN Images

International Conference On Informatics, Multimedia, Cyber, and Information System (ICIMCIS) 2022

Case Study
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A Combination Of Augmentation Techniques And Modification Of Transformer Architecture In Detecting Depression On The Indonesian Language Twitter Dataset

Final Assignment to earn Bachelor Degree of Mathematics in Universitas Sriwijaya.

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Perbandingan Klasifikasi Penyakit Kanker Paru-paru menggunakan Support Vector Machine dan K-Nearest Neighbor

Penelitian mengenai perbandingan dua algortima klasifikasi penyakit kanker paru-paru yaitu SVM dan KNN dengan dataset csv dari website Kaggle

Case Study

Contact Here's my contact. You can email me