Welcome to my portfolio page!
With a background in Finance and Marketing, my projects focus on using analytics tool to study my favorite topics in these fields.
My projects are all designed with replicability in mind, you can check the project overview to see the executive summary and find the detailed documentation. The workbook of each project is also provided if you're interested in the technical details.
Send me messages to discuss the details of my works.
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This project is based on a practical case that I have with my friend, where I analyze Shopee sales data provided by Atosa, a company that provides many marketing automation solutions for Shopee, an ecommerce platform in Vietnam.
In this project, I construct many efficient frontiers from various stocks in the DAX30 index to showcase my familiarity with Excel.
This project explores many components of the DAX30 index using Pandas
and Plotly
in Python.
This project focuses on constructing, optimizing, and analyzing a portfolio of chosen stocks in Python.
The project focuses on modeling the probability of attrition using a logistic regression. The results thus obtained will be used by the management to understand what changes they should make to their workplace, in order to get most of their employees to stay.
The project focuses on analyzing which characteristics of a candy contribute to its popularity. The analysis shows several important factors that contribute to the probability of a candy to be chosen by customers and provides many suggestions to construct a most-preferred candy.
This project establishes a data schema containing all the data in the Olist set following the given structure of the publisher.
In this project, an exploratory data analysis on the database Olist is carried out using SQL as the main tool for extracting and manipulating data from the database and Plotly
is used as the main package for visualizing query result.
The General Data Protection Regulation (EU) (GDPR) is a regulation in EU law on data protection and privacy in the European Union (EU) and the European Economic Area (EEA). Understanding the these fines help prevent future violations and supports the training of the data users to adhere to the GDPR.
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