Xuan Bach Le

I am a recent Bachelor of Data Science graduate with strong analytical and programming skills. I have experience in data

analysis, data visualization, and machine learning techniques. My proficiency in programming languages such as Python, R, and

SQL has enabled me to develop and implement predictive models and algorithms. I have outstanding communications skills

and I enjoy working on tasks and projects that involve client interaction and teamwork. I am keen to demonstrate my technical,

organisational, creative, communications and interpersonal skills to add value to a company willing to offer me the opportunity.

1. Rossman Sales Prediction using Machine learning

• Pre-processing data using EDA to visualize and investigate data sets and summarize the main characteristics.
• Processing data using PCA reduces the dimensionality of datasets, increasing interpretability.
• Using different ML Models (Linear Regression and XGBoost) to train models for predicting.
• Tuning hyperparameter for the best prediction results.

2. Statistical Report

Predictive Analysis of House Price using Multiple Linear Regression

• Used R to find descriptive statistics and correlation charts for finding insights from data.
• Used R and Excel to create visualizations for data.
• Used Machine Learning to train model and tested the accuracy of the model.

3. Data Integration and Warehousing

• Using SQL in Microsoft SQL to extract the data from an operational database, transformed data in the staging area, and then loaded data into a Data Warehouse system.
• Building a large system of the fact table and dimension tables, then creating pivot tables and operation system.
• Applying a variety of analytics tools for getting insights from data.