Portfolio

Data analysis using SQL commands

A loan company asked me to get meaningful insights from a live database located in the PostgreSQL platform. By using the Jupyter notebook, I connected with and did explanatory data analysis using SQL commands.

SaaS businesses

Identifying and analyzing specific SaaS companies for a venture capital company to acquire was my role. To do the web scraping and enable the non-technical people to play with the analysis, I used the BeautifulSoup library and Tableau respectively.

Feature Reduction using Genetic Algorithm

To predict a house price in Boston , I used Genetic algorithm as a feature reduction tool to build a regressor. To better explain how it works, I wrote an article on the medium platform.

Genethic algorithm

Genethic algorithm tutorial

MCA-PCA-jupyter notebook

MCA-PCA-medium

Tune PCA and MCA

To build a supervised model on a mixed dataset, I tuned the Principal Component Analysis(PCA) and Multiple Correspondence Analysis(MCA) feature reduction techniques to reduce the numerical and categorical dimensionality respectively. To deeply elaborate on my approach, I wrote an article in the medium platform.