Indonesia Basketball League (IBL)

Asian Games 2018

ASEAN Basketball League

Brighton Real Estate

Liga Mahasiswa

RevoU

Universitas Negeri Surabaya

I am currently involved in the Full-Stack Data Analytics Program at RevoU, where we are working on a project to analyze customer churn at U-Bank. The goal is to provide the marketing team with recommendations on how they can retain their customers based on effective customer segmentation. As the Project Manager, I work alongside Ferdinand Bratasena, who is the Data Analyst, and Shireen Malika, who is the Visualization Specialist. We collaborate and work together to complete all the project milestones.

This project is a mandatory Intermediate assignment as part of the Data Visualization section of the RevoU Full Stacks Data Analytics Programme. The project is being mentored by Ms. Danaparamita Dewi, with guidance and support from Mr. Qabil Asta as Team Leader. The data set for this project is sourced from the e-commerce platform Samba-Commerce Brazil.

To create the Executive dashboard, we will be utilizing two tools - Looker Studio and Tableau Public. The primary objective of the dashboard is to present information pertaining to business transactions growth, as explicitly requested by the CEO.

This project is a case study of an Indonesian investment company. It aimed to analyze data using Python programming to offer insights and recommendations to stakeholders. The project was a part of the intermediate assignment of Python Session, weeks 6-8, at RevoU's Full Stacks Data Analytics Program. It began with data cleaning, which involved handling missing values, checking for duplication, and manipulating data types. Exploratory data analysis followed, using descriptive statistics, pivoting, diagram charts, and histograms to understand the data. The team handled outliers and processed them with regression, creating a model based on the results. Then segmented the data using clustering methods such as the elbow or silhouette. The project concludes with recommendations to the stakeholders. Mentored by Mr. Haidar Ali Rizqi as Instructor and guided by Mr. Qabil Asta as Team Leader, the project showcases the value of Python for data analysis and highlights its potential in real-world business scenarios.

This project involves several key components, including a business problem statement, data cleaning, descriptive statistics, and regression analysis. The goal of this project was to provide recommendations and insights based on the results of data analysis using the Google Spreadsheet Xl-miner tools, with guidance and support from Team Leader Mr. Qabil Asta.

The project was completed as part of Assignments Week 2-3 on Statistics and Spreadsheet Session in the Full Stacks Data Analytics program at RevoU, under the mentorship of Mr. Hervind Phillipe. Through this project, I was able to gain hands-on experience in data analysis, utilizing various statistical techniques to draw meaningful conclusions and provide actionable recommendations.

This project represents the initial Intermediate assignment of the Full Stack Data Analytics Program, specifically focusing on Chapter Week-1 Business Understanding Problem, under the mentorship of Mr. Rahmat Hidayatullah. The project centers on identifying and defining the issue(s) at hand within the HR team using the DARCI and SMART methods. Furthermore, the project design includes outlining the root causes via an issue tree and subsequently determining the appropriate metrics necessary to solve the business problem. Ultimately, the project aims to prioritize the top three root causes, followed by developing hypotheses and five metrics based on the underlying reasons.

As part of my responsibilities, I provide support in facilitating effective communication and managing administrative tasks for this conference. Additionally, I am tasked with refining the format and structure of the draft conference proceedings.

My primary responsibility is assisting in the research manuscript related to data collecting and statistical analysis calculation using SPSS with regression linear stepwise on EAGLES financial analysis for the top 10 Bank Groups Based on Core Capital level 4 in Indonesia.

My contribution to this research is assisting in collecting and analyzing data from the annual bank reports of Indonesian Major Banks based on Core Capital Level 4 in the post-pandemic era.

I am tasked with supporting Mr. Duong's research by compiling and analyzing several Indonesian bank data reports based on Bank Groups Based on Core Capital level 4 over the recent ten years using the EAGLES financial analysis method.

My Bachelor's Thesis is crucial in fulfilling my milestone towards obtaining a Bachelor's Degree. The research is centered around the utilization of secondary data derived from basketball statistics of the Liga Mahasiswa National 2016. This research aims to figure out the contribution of rebound on the champion's journey of the league.