Văn Phương Trúc

Personal Information

Phone: 058*-***-***

Email: adwg8k@r.postjobfree.com/adwg8k@r.postjobfree.com

Linkedin: Phương Trúc Văn – RMIT University Vietnam – Ho Chi Minh City, Vietnam Language: Vietnamese, English

Summary

A hardworking IT student with good technical knowledge and high adaptability. A strong team player with respectful attitude and has worked in different IT projects applying different management frameworks. Most proficient in Design and Machine Learning. Education

Bachelor of Information Technology

RMIT University, Ho Chi Minh

October 2019 – Ongoing

Core Competencies

Machine learning

Python/Java/C++

Statistical analytics

Database management

Front-end development

UI/UX

Problem solving

Git

Photoshop

Experience

Vouchy – Front-end Development

A full-stack e-commerce website selling vouchers implemented with MERN framework. Users can browse and purchase vouchers provided directly by brands, users can also play minigames to earn tokens to exchange with vouchers.

Developed the front-end elements using ReactJS and JS.

Developed the log-in system with confirmation email.

Set up and maintained accounts and vouchers databases using MongoDB.

Designed the Gmail HTML responsive signature.

Wrote unit tests.

Netflix clone – Full-stack Development

A video streaming platform that works exactly like Netflix, implemented with React, Redux Toolkit, Nodejs, MongoDB.

Successfully replicated Netflix front-end elements using ReactJS and JS.

Set up and maintained databases using MongoDB, Firebase.

Fetching APIs for movie information.

Integrated Nodejs API with React to perform functions such as: Add to my list, Delete from my list, etc.

Now Food redesign – UI/UX Design

A case study on the usability of Now Food mobile application.

Conducted a survey on the usability of this application.

Redesigned the application using Ps and Figma.

Conducted a usability test on different users and received positive feedback. Rice crop classification & Crop yield forecasting – Data Science

Predicted whether given coordinates are rice crops and forecasted the crop yield.

Researched to find suitable features for the training process.

Achieved variables corresponding to the coordinates from satellites such as Sentinel, Landsat, etc.

Processed, analyzed, and visualized data to get statistical insights.

Trained a Catboost rice crop classification model with 100% accuracy.

Trained a timeseries Catboost crop yield regression model with 84% accuracy. Objects classification mobile application – Data Science, Mobile Development

A mobile application that can recognize up to 100 daily objects. User points the phone camera at an object and the app will let u know what it is.

Trained an image classification model that can classified 100 objects.

Learned how to apply data augmentation to process images.

Design the application interface.

Implemented an android application containing the trained model.

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