Data Science Machine Learning

Excel

MY CONTACT

THÁI BẢO AN

ABOUT MYSELF

My name is Thai Bao An, I am currently a final-year studentt pursuing a degree in Data Science at the University of Economics Ho Chi Minh City (UEH). I am very interested in working with data and accessing new data analysis technologies, from data collection and processing to in-depth analysis and building machine learning models, fueling my drive for innovative problem-solving

EDUCATION

PROJECT

Description: Explored patterns in customer purchasing habits, identified key trends, and developed clustering models to segment customer on behaviors

Technologies Used: SQL, Power BI, Python (Pandas, Matplotlib, Sklearn)

Objective: To understand behavior and create customer segmentation to enhance business strategies.

Description: Crawled data from Tiki, one of Vietnam's largest e-commerce platforms, and performed sentiment analysis on the gathered data.

Technologies Used: Python (RequestAPI, Sklearn, Tensorflow) Objective: To gain insights into consumer opinions and preferences, informing strategic business decisions, enhancing product offerings, and improving customer satisfaction.

Customer Shopping Trends Analysis and Modeling

E-commerce Sentiment Analysis

SKILLS

Phone

Email

090*******

Address

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

786 Truong Chinh, Tan Binh,

Ho Chi Minh

LANGUAGE

Vietnamese

Native

English

Intermediate

The University of Economics Ho Chi Minh City (UEH) 2021-2024 Bachelor of Data Science

Linkedin Profile

GPA: 3.57/4.0

PROFILE

Portfolio Profile

SQL Power BI

Python Tableu Docker

Machine Learning

Statistics Deep Learning

Spark

CERTIFICATIONS

Google Data Analytics

IBM Data Science

Hackerrank SQL (Advanced)

Description: This project focuses on predicting the authenticity of job postings using natural language processing techniques and applying SGD classifier and Bi-LSTM models for prediction. Technologies Used: Python (NLTK, Sklearn, Tensorflow) Objective: To build a useful model that helps protect job seekers from recruitment scams and assists legitimate employers in maintaining their credibility on job platforms. Real / Fake Job Posting Prediction

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