Skip to content
View baonhi3008's full-sized avatar
2 followers · 2 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Block or report baonhi3008

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
baonhi3008/README.md

Hi there 👋

Hi, My name is Bao Nhi!

Hi there, My name is Bao Nhi, I’m a final year student in Information Technology at RMIT university Vietnam. I’m accountable, hard-working and aim to make something bigger than me. I am highly interested in AI application in education and biomedical engineering. Currently, I have been researching and learning many courses related to deep learning, applying machine learning algorithms in education and healthcare medical applications, which make me even more want to develop deeper understanding about these areas.

My interest areas:

  • Using deep learning for self-regulated learning
  • Using deep learning for image processing in healthcare application
  • Technology are AI applications and researches
  • Automation Software QA

More practical projects are available on my Github, please feel free to take a look.

Projects


Machine Learning and Big Data project

Machine Learning using Tensorflow

Detecting colorectal cancer using deep learning and supervised learning algorithms
In this work, a machine learning model must be implemented to aid in the detection of colorectal cancerous cells and the differentiation of cell types in colon cancer. There are two major tasks that need to be delivered:
  • Task 1: Cancerous Classification
  • Task 2: Cell Types Classification
    • I have reconstructed 5 CNN architectures to be customized to the model and perform 2 tasks with further detail analysis on each architecture to see if it is good to solve the problem
  • Supervised Machine Learning methods: XGBoost, LightGBM, CatsBoost
  • CNN architectures: AlexNet, VGG-16, ResNet-50, Xception, RCCNet
  • Language used:

Machine Learning approach to predict if patient develop sepssis during their stay at ICU

Predict sepssis during ICU stay using different ML Classification methods
In the work, I developed more than 6 models from basic to advanced with 3 main algorithms: Decision Tree, Random Forest, Logistic Regression. Each model was developed from basic to advanced with further techniques including SMOTE, SMOTE-ENN, Cross Validation with Grid Search. At the end of each model, I made an analysis and evaluation for the performance and explain why further technique needed to be applied for better performance of the model. Finally, I made a ultimate judgement and analysis to see the which one is the best model for given problem.
  • Machine Learning Methods and Preprocessing Technique
  • Decision Tree
  • Random Forest
  • Logistic Regression
  • SMOTE + Random Under Sampling
  • Language used:

Building big data pipeline with Docker, Kafka and Cassandra

In this work, I have deployed an end-to-end data pipeline on your local computer using Docker containerized Kafka (data streaming), Cassandra (NoSQL database) and Jupyter Lab (data analysis Visualization). This wrok is intended to give practical experience with a simple big data stack and data pipeline.
  • Language used:

Professional Technical Experience

Technical Support Specialist 4/2021 - 6/2022

In 2021 I started my position as Technical Service Support Specialist at Skedulo - company that provide Human Management applications and software.
  • My responsibilities

    • Supporting the technical customer support team to investigate the error and solve customer application's technical issue.

    • Conduct testing on current product including SalesForces, web application and mobile application to verify the error.

    • Finding solution to the issue from client. Working with the developer team to fix bug if any.

    • Communicate with client to make sure that the support team is fully understand the issue and deliver the expected outcome for the client.

Salesforces Manual Tester 11/2021 - 3/2022

In November 2021, I started working as IT consultant for Net company, my main work was Salesforces Manual Tester.
  • My responsibilities

    • Conducting unit test on ready-to-release function and feature.

    • Writing test case for features in Salesforce platform.

    • Evaluating test cases based on company customised framework.

    • Writing weekly report for all test cases executed in the week including pass, fail and must-be-review test cases.

Technical Project Assistant

• I had experience working as an assistant for Women Meet Tech - a project that encourages girls/women to engage more in Technology.

⚡ Technologies I used

Python ReactJS Java HTML5 CSS3 Bootstrap MongoDB PostgreSQL MySQL Heroku Docker Amazon AWS Google Cloud Git GitHub

Contact me

Popular repositories Loading

  1. CovidDataAnalyticTerminalApplication CovidDataAnalyticTerminalApplication Public

    The COVID-19 pandemic is becoming worse over time. Although not having a firm background in medicine and health, you want to contribute to the community in fighting this battle. By reading science …

    Java

  2. EnrollmentManager EnrollmentManager Public

    This repository is about Java console app that manages student enrolment

  3. StudentEnrolmentManager StudentEnrolmentManager Public

    Java

  4. baonhi3008 baonhi3008 Public

    Config files for my GitHub profile.

  5. LibraryManagementSystem LibraryManagementSystem Public

    Java

  6. GreedyGnomes GreedyGnomes Public

    This repository solve The Greedy Gnomes Problem using both exhaustive search algorithms and dynamic programming algorithms, and then compare their performances.

    Java