Python

This is a personal project on E-Commerce Sales Analysis, from a public Kaggle e-commerce analysis dataset. 

First, the datasets were imported from Kaggle, and all were cleaned. Then, they were all merged. 

Then, the merged data was explored and analyzed, as pointed out in the Python notebook. 

Analyses include customer and product insights, as well as anomaly detection and analysis. 

This was a graded project for Business Decision Analytics Under Uncertainty. 

I made an algorithm to solve the problem of resource/personnel allocation to projects. 

A final presentation was made as well.

This was a graded project for Foundations of Business Programming. 

Here, I analyze stock prices from 6 months in a .csv file with Python. 

As the project requested, it involves determining rising days and moving day averages for various scenarios.