Data Analyst

CONTACT ME

EDUCATION

Linh Trung, Thu Duc city.

github.com/nhatthanh1

***********@*****.***

094*******

Computer Science

University of Infomation Technology

****-****

SKILLS

Product detection on the conveyor belt

Data collection, labeling and analyst

Model development

Model for object detection: yolov5, faster RCNN

Used labelImg for label data

Technologies used :

Classification of Ban/Unban product (Image & Text) Data processing

Model development ( Build model)

Model for object detection: yolov5, yoloX

Model for text classification : Tranformer

Technologies used :

VietNam Scene Text Challenge 2022 - BKAI NAVER(Top 3) Data processing, visualization

Model development (Try model)

Model for object detection: yoloR, ABCNETv2

Model for text recognition : VietOCR, VisTR

Technologies used :

VAIPE: Medicine Pill Image Recognition Challenge AI4VN2022 Data processing

Model development (Try model)

Model for object detection: yolo7

Model for text recognition : VietOCR, Parseq

Data augmentation

Technologies used :

Võ Nhật Thanh

WORK EXPERIENCE

Progamming languages:

C/C++, Python, JavaScript

Web:

ReactJS, HTML, CSS, NodeJS,

FastAPI, NodeJS, Dijango, ...

ML/AI:

OpenCV, PyTorch, Numpy, ...

SQL

Big Data: Hadoop, spark

Tool: Power BI

Language:

English

PROJECTS

Data Science: 1.5 year 2022 - 2023

Member of AI Club UIT: 3 years 2020-2023

Mapping category (NLP, classify product name and hscode) Data processing, analyst, visualization

Model development (Build model), process data imbalance Model for text classification: Distilbert, XLNet, Machine learning model, Fasttest, CNN+ LSTM (Bi- LSTM)

Technologies used :

ID-Card detection

Data collection, labeling and analyst

Model development

Model for object detection: yolov5, yolov7

Model for object

Used labelImg for label data

Technologies used :

Sentiment Analysis for movies review (VN/EN)

Crawler data from movie web

Data processing, analyst, visualization

Model development ( Build model), process data imbalance Selenium and beautisoup for crawl data

Model for text classification: Logistic Regression, CNN+ LSTM ( Bi- LSTM) Technologies used :

OBJECTIVE

Leverage my experience to analyze data,

identify relationships and trends, and

provide the insights needed to support

strategic business decisions.

Optimize and improve existing models,

and look for ways to improve the

efficiency and effectiveness of data

analysis processes.

Look for opportunities to use the latest

technologies and data analysis

techniques to help businesses enhance

competition and optimize processes.

Contact this candidate