Arif Kurniawan | Data Analyst | Data Enthusiast

Arif Kurniawan

Data Analyst | Data Enthusiast

Based in The Special Region of Yogyakarta, Indonesia

About

With a completed data analytics course and practical experience working on data analytics projects, I am motivated to build a career in data analysis. My goal is to become a data analyst and BI analyst. I possess technical skills in MySQL, PostgreSQL, Python, Looker Studio, Tableau, Ms. Excel & PowerPoint, and have adequate communication skills in both Indonesian and English.

Skills

Projects

Superstore's 2017 Data Analytics

This is my portfolio of analyzing superstore dataset from Kaggle to gain insight by Descriptive Analytics, RFM Analysis and Cohort Analysis using PostgreSQL and Tableau.

AtliQ Hardware

This is my Tableau project for solving sales and profit analysis issues at AtliQ Hardware, a dummy company. I utilized Tableau for ETL and dashboard creation, along with MySQL for data analysis within the dataset and Microsoft Excel to convert MySQL data to CSV and integrate it into Tableau.

Accenture's Data Analytics and Visualization Virtual Experience Program on Forage

I completed Accenture's Data Analytics and Visualization Virtual Experience Program on Forage, gaining hands-on skills and knowledge in these areas.

MySkill Data Science Course

This is my final projects from my Online Data Science Course by MySkill. This list contains articles about my final projects using PostgreSQL as my SQL Tools, Python for Data Visualization, Looker Studio as my BI Tools, and Python for Machine Learning.

Experience

April - May, 2023

Business Intelligence Analyst Intern at Bank Muamalat X Rakamin Academy

(1.) Using MySQL and Ms. Excel to process the raw data until the data is ready to use and analyze. (2.) Creating a sales dashboard using Ms. Excel to analyze and monitor the past 2 years of sales data. (3.) Gaining insight from sales data and providing input to maintain sales or increase sales from sales data.

Education

August - September, 2023

Data Analyst Associate at DataCamp

(1.) Learned SQL for data analysis, including functions and window functions. (2.) Acquired skills in data manipulation, summary stats, and data joining. (3.) Familiar with statistical concepts and their practical application. (4.) Gained experience in Exploratory Data Analysis (EDA) using SQL. (5.) Explored the use of SQL for Data-Driven Decision Making. (6.) Developed proficiency in creating data visualizations for communication.