COVID-19 Data Visualization Project

My first data visualization project contains visualization of COVID-19 data. The data used is real time public data sourced from google bigquery public data. Data visualization is made by combining the use of SQL queries on google bigquery for data processing and looker studio as visualization tool.

E-Commerce Customer 360° View Project

Customer 360 View: Consolidate customer data for a holistic view for better personalization of services and experiences. The data used is e-commerce olist data that is leveraged to find the characteristics of each customer.

A/B Testing for New Company Feature

A company introduced a new bid type, "average bid", as an alternative to the existing bid type, "maximum bid". To test this new feature an A/B test was conducted to understand if average bidding resulted in more conversions than maximum bidding.

Mini Covid-19 Dashboard Visualization

Covid-19 data visualized into a dashboard by displaying several features and metrics contained in the dataset.

Clustering for Product & Marketing Division

Employees of the product and marketing division are tasked with maintaining product quality and increasing company profits. So optimization is carried out using the clustering method to group several supporting aspects

Banking Loan/Credit Approval Prediction

Inaccurate determination of prospective borrowers / creditors has the potential to become a problem of delayed payments made. will be analyzed regarding the screening & selection of prospective creditors based on data owned by the company by predicting payment status using machine learning models.

Banking Loan Prediction Dashboard Visualization

Visualization in the form of a dashboard regarding bank loan prediction data discussed in the previous project at the following link: https://www.datascienceportfol.io/iamfarhanathif/projects/5

Employee Promotion System Study Case

Machine learning modeling for employee promotion case study in a company. The data used is the key performance index data of each employee which is then processed to determine the model with the best performance to predict which employees deserve to be promoted.

Simple Insight Analysis of Employee Dataset Using SQL

in this project, a simple analysis of employee data is carried out. the analysis is carried out by utilizing the sql tool. the process starts from inputting data into the database to creating queries to find insights from existing data.

E-Commerce Customer Churn Prediction Modeling

the factors that cause churn in a company will be traced and predicted using a churn prediction model based on customer transaction behavior over the past few months. This project provides insight into the company in order to reduce customer churn, thus providing benefits to the company.

E-Commerce Customer Churn Prediction Dashboard

Visualization in the form of a dashboard regarding E-Commerce Customer Churn Prediction discussed in the previous project at the following link: https://www.datascienceportfol.io/iamfarhanathif/projects/9

Segmentation of Regencies/Cities in East Java Based on Regional Earth Products to Optimize the Potential of MSMEs Using Machine Learning Clustering Models

Global recession and post covid-19 economic recovery is a challenge for indonesia. this economic uncertainty can be prevented by relying on the MSME sector. Clustering of cities and districts in east java is carried out based on crop yields to optimize the number of MSMEs which are then linked to pr

Segmentation Regencies/Cities Dashboard Based on Regional Earth Product

Visualization in the form of a dashboard regarding Segmentation Regencies/Cities Dashboard Based on Regional Earth Product discussed in the previous project at the following link: https://www.datascienceportfol.io/iamfarhanathif/projects/11