A side project for collecting & displaying a list of people whose work I admire!

Sharing codes to create an interactive network graph and some insights to analyze a network

A project seeking it to make it easier for companies to compare the representation of different groups in a company workforce to the local labor force across geography. I am fairly new to this, so let me know if I've set up anything incorrectly!

A python script that leverages both web scraping and meetup's api to create a rich dataset on a particular topic

A script that scrapes all current WeWork coworking space locations and outputs them in a CSV.

Counts number of people in frame and writes number into .txt file

Final Project for JCDS08 Purwadhika

This project analyzes fictional recruiting data through two main approaches - prediction and explanation. A multilayer perceptron is used for prediction and logistic regression for explanation.

Used linear and tree-based models, visualizations techniques to solve commonplace data science problems, including calculating conversion rate, analyzing A/B testing, churn/retention prediction, fraud detection, funnel analysis, pricing testing, marketing campaign optimization, clustering, user referral, loan default prediction, optimization, pe…

The following SQL queries count the headcount of current employees at a fictitious company by different segments (Performance Score, Employee Satisfaction, Compensation, Company Tenure, Department, and Employee Engagement).

Used Microsoft SQL Server to write several queries to calculate the attrition rate for a fictitious company between 2014 to 2018.

R code used in the article "Predicting Employee Attrition: R vs DMWay"

An interactive analytics dashboard for the Drexel University Peer Counseling Helpline

Hello people!

Getting Started

This project uses the real data from IBM to predict employee attrition by using supervised machine learning.

As a budding data analytics professional, reading official and unofficial documentation and producing accessible reports is par the course. As an intellectual exercise, I am creating a data visualization of my LinkedIn network using an article from Medium as my "documentation". Second to that, this exercise is also an opportunity for me to use a…