Le Nguyen Hai Duong

Data Scientist / Engineer

SOMETHING ABOUT ME

I am a fresh graduate from HCMUS. With a passion for working with data and discovering valuable insights, I have completed the data science program at this institution, including coursework in artificial intelligence, machine learning, data science, data mining and big data introduction. Utilizing this knowledge, I have undertaken projects in data analysis and predictive modeling, gaining practical experience in the data science workflow and completing my thesis on data mining. As a newcomer in the job market, I am eager to find a reputable company where I can continue to develop my skills and contribute as a Data intern.

or Contact me through "xulinhle97@gmail.com"

Data Mining Thesis

Research focus on CHUIM in incremental database, then I choose to improve Closedset-Lattice algorithm.

Gradient Descent

Exploring GD/GA and some of its applications in machine learning through Linear Regression and PLA.

NLP Disaster Tweets

Worked with BERT and ROBERT models to predict whether a tweet is about real disaster or not.

Stream Sentiment Analyst

Building pipeline with MongoDB, Kafka, PySpark. Used nltk for sentiment analysis scope then visualized by Dashapp.

Cinema Ticket Sale

Explored features relationships on Time Series Dataset. Build ARIMA model to predict sale in the future.

Maze Solving

Implemented and visualized pathfinding algorithms DFS, BFS, UCS, GBFS, and A-star to find paths in a maze.

Kid Store Analysis

Crawling data from Shopee Mall. Building data pipeline, creating dashboards, then analyzing which attributes impact sales.

My Portfolio

Using HTML, CSS, and JavaScript to build a portfolio that briefly introduces myself and some of my abilities.

TOEFL ITP (B1)

Provided by IIG in May, 2023 with score 497/699.

Bachelor Degree

Data Science at HCMUS (2020 - 2024) with GPA 3.56/4.0

SQL (Advanced)

Topic: Query optimization, data modeling, Indexing, pivots, and window functions in SQL.

Problem Solving (Inter)

Topic: Data Structures (such as HashMaps, Stacks and Queues), Algorithms (Optimal Solutions).

Python (Basic)

Topic: Scalar Types, Operators, Iteration, Modularity, Objects and Types and Classes

Java (Basic)

Topic: classes, data structures, inheritance, exception handling, etc.