Duong's portfolio
Starting my journey as a curious and ambitious individual, I am eager to learn and explore new opportunities. With a passion for analysis and a drive to make a difference, I compiled some highlights from completed projects as below.
Data Science, Machine Learning & AI
Demand Prediction Model with SHAP Interpretation
The objectives of the analysis are: Understand demand across different price ranges, brands, shops, and seasons (1), Build a predictive model to forecast demand (2), and Explain observations and attributed variables importance in the model (3).
Tools used: Python, RandomForestRegressor, TreeExplainer, SHAP
Text Classification Model with BERT and SHAP
The objectives of the analysis are: Understand demand across different price ranges, brands, shops, and seasons (1), Build a predictive model to forecast demand (2), and Explain observations and attributed variables importance in the model (3).
Tools used: Python, BERT, transformer tokenizer, SHAP
Business Intelligence & Report
Each data collected by business can make a significant contribution to its value; however, this is not universally utilized. Business intelligence (BI) is a vital tool for organizations seeking to transform raw data into actionable insights. Depending on the business needs, the insights could be related to sales, financials, operations, safety measures, and so on.
This example report highlights key performance indicators (KPIs) and explores future sales prospects of Wish platform in August 2020. These visuals, created in PowerBI, enable efficient monitoring of trends and support data-driven decision-making.
Tools used: Power BI
Focus area: KPI tracking, sales report, data storytelling
EMCDDA wastewater analysis
Projects
In this project, my team and I investigated data from EU portal to visualize and suggest solutions to officials about each substance used. The project involved every step from data cleansing, exploratory analysis, analysis to visualizing through Python/Google Colaboratory.
Financial analysis - ESG and CFP
This project is part of my analysis in my Bachelor's thesis which consisted of a regression analysis and evaluation of ESG and different firm characteristics on stock prices. The whole process includes extensive data collection, cleansing, dimensionality reduction, and regression on Excel.
