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

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

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.

heat map_usage over the week 2011-2021
heat map_usage over the week 2011-2021
User reseacrh & modelling - Spotify dataset
Financial analysis - ESG and CFP

This is a project dedicated to Artificial Intelligence and Big Data for Business course in which I teamed up and built a model to predict a song's popularity based on track characteristics. Additionally, clustering was integrated to deepen the understanding of the datasets. The project was conducted through RapidMiner, Excel, and Tableau.

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.

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contact@kanavilla.com

+358 414 987677