Software Developer
Data Analyst
Full Stack Developer
I'm a curious and enthusiastic Computer Science graduate from the University of Manitoba, who believes in the power of data and software to make the world a better place. I've spent time as a Data Analytics Developer at Manitoba Hydro, where I got to flex my data engineering muscles and solve real-world problems with cutting-edge technology.
I'm also a certified IBM Full Stack Software Developer, which means I'm just as comfortable building the front end of a website as I am crunching numbers on the back end. Outside of work, I'm a tech explorer, always on the lookout for the next cool project. Ready to dive into the world of code and data with me? Let's make something amazing!
Here's a few quickbits about myself 🙋🏻♀️:
Python
R
Java
C/C++
C#
Swift
JavaScript
CSS
HTML
XML
SQL
With 4+ years professional and academic research experience, Data Science is my strongest suit.
My proficiency in Machine Learning, Data Analysis and Visualization enables me to develop data-driven solutions that address real-world challenges and transform complex data into actionable insights.
As a certified IBM Full Stack Software Developer, I have a strong understanding of all aspects of building dynamic web applications.
My expertise with web frameworks, container, microservices and serverless technologies allows me to craft seamless user experiences while ensuring robust back-end functionality.
With a deep passion for software development, I excel in Object-Oriented Programming (OOP), Data Structures, and Agile Methodologies.
My experience with Android and iOS development, as well as game development, has honed my skills in creating high-quality software solutions that meet user needs.
I bring extensive experience in data warehouse management, ETL processes, and cloud storage solutions.
My ability to engineer and manage large-scale databases ensures that customer data is not only secure but also readily accessible for driving business insights.
In my latest venture, I dove into prompt engineering and collaborated closely with coding GPTs, making them smarter and more efficient.
In fine-tuning AI-generated code, I also honed my skills in assessing and crafting Python, JavaScript, and SQL code that directly improved GPT models.
A proud moment in my journey where I got the opportunity to apply my Data Science expertise to build highly accurate ML-models for customer credit classification.
Working with massive datasets and building a cloud AI-driven solution that replaced an outdated system was a challenging but incredibly rewarding experience.
As part of my Summer Undergraduate Research award, I delved into the tasks of developing complex autoencoder neural networks that can predict COVID-19 based on early blood test results and in the absence of large training datasets.
Leading a full-cycle ML project that yielded meaningful results, multiple published research and additionally, winning first place in the Bison Transport's Nexus Data Challenge was altogether an unforgettable experience.
I immersed myself in full-stack development, mastering everything from Node.js, React, and Express to Docker and Kubernetes.
Gaining knowledge in building real-world projects, like a dealership reviews website and containerized apps, really expanded my skillset and makes the journey ahead incredibly exciting.
Completed a 5-year Co-op program with excellent grades and a strong foundation on Data Science, Machine Learning, and Software Development.
Was recognized for academic excellence, community involvement and leadership, including ICM Leadership Excellence Award (2020), Undergraduate Summer Research Award (2021), International Undergraduate Student Scholarship (2021), Dean's First Class Honors List (2023).
Computer vision models assisting in the early detection of breast cancer using radiology images.
GitHub
Autoencoder neural networks classifying COVID-19 patients with excellent accuracy and reliability.
GitHub
Web-based time tracking app designed to help users maintain focus and productivity.
GitHub
Regression models predicting transit on-time performance, improving scheduling accuracy.
GitHub
Mastered full-stack development, building real-world projects like a dealership reviews website and containerized apps.
08/2024
Completed the capstone project by building and deploying a dealership reviews website on Docker and Kubernetes.
08/2024
Graduated with a Bachelor of Computer Science (Honours Co-op) with an excellent GPA of 4.05/4.50.
06/2023
Or email me directly at duythongvt1@gmail.com
You Can Find Me On
LinkedIn
GitHub
Coursera
Credly
Kaggle
LeetCode
IEEE Xplore