Hello, My Name is
Arief Dwi Rachmadian
I'm a
About Me

About Me


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Recent graduate with a degree in computer science and a GPA of 3.21 from Bina Nusantara University. Aspiring data scientist with a solid foundation in data analysis, statistical modeling, statistical analysis, data visualization, and machine learning. Committed to expanding knowledge and honing skills in these areas to advance as a professional and contribute to organizational success. Seeking an entry position in the data scientist field to leverage skillsand gain more practical work experience

I am an adventurous individual with a passion for hiking, and I love to push my limits by embarking on challenging hikes with my friends. Through these experiences, I have developed important life skills such as time management, teamwork, leadership, decision making, and the importance of helping others. Besides hiking, I also enjoy playing badminton, swimming, and running to stay active and healthy.

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Interests


datascience
Data Science

software engineering
Software Engineering

webDevelopment
Web Development

Skills


html5
HTML
css
CSS
js
Javascript
Angular
Angular
Laravel
Laravel
Nodejs
Node Js
Golang
Go
Pyhton
Python 3
Java
Java
.NET
.NET
SQL
SQL
Jupyter Notebook
Jupyter Notebook
Excel
Microsoft Excel
Tableau
Tableau

Portfolio



Customer Churn

Telco Customer Churn

Issued by Digital Talent x Binar Academy
    The growth of the telecommunications industry is currently very rapid. Customers have the right to choose the appropriate provider and can switch from the previous provider which is defined as Customer Churn. Customer churn prediction is important for companies to know to be able to map a business strategy to retain customers.
  • Scope of Work :
    • Create a machine learning model using a classification algorithm (supervised learning) to predict customer churn.
    • Exploratory Data Analysis to find out which variables influence customer churn or not and create data visualizations.
    • Using several models such as Logistic Regression, KNN, Naive Bayes and Decision Tree. Based on these four algorithms, the result is that the decision tree algorithm obtains the highest accuracy around 88%.
Titanic

Titanic - Machine Learning from Disaster

Issued by Digital Talent x Binar Academy
    The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?”
  • Scope of Work :
    • Create a machine learning model using a classification algorithm (supervised learning) to predict which type of person is more likely to survive.
    • Exploratory Data Analysis to find out the distribution of data that affects whether a person is survive or not.
    • Using a decision tree algorithm produces the highest accuracy reaching 94%.
Covid-19

Dashboard Covid-19

Issued by Digital Talent x Binar Academy
    The COVID-19 dataset in Indonesia was created to find out various factors that could be taken into consideration in decision making related to the level of stringency in each province in Indonesia. Data compiled based on time series, both on a country level (Indonesia), and on a province level. If needed in certain provinces, it might also be provided at the city / regency level. Demographic data is also available, as well as calculations between demographic data and COVID-19 pandemic data.
  • Scope of Work :
    • Do queries to answer the questions given such as Total number of new active Covid-19 cases in each province then sorted by the largest number of cases, take 2 location iso codes which have a total number the least number of deaths from Covid-19, Data on the dates when the rate of cases recovered was in Indonesia is the highest along with the number of rates, etc.
    • Create dashboard covid-19 using Looker Studio and interpret the results from the dashboard that has been made.
company profile

Bookride

PT. Acset Indonusa Tbk
    Bookride is a web application provided to meet the needs of employees in the form of vehicles and drivers for business trips. Bookride is developed using Angular JS and .NET
  • Scope of Work :
    • Integrate Bookride Database with Helpdesk
    • Create Achievement Graph Page for Each GA
company profile

Portal Inovation

PT. Acset Indonusa Tbk
    Portal Innovation is a website used by companies to find the innovations from each employee. This website is developed using Angular JS and Node JS
  • Scope of Work :
    • Fixed a bug when updating data from excel
    • Added search filter by division and department
    • Added delete function on jury selection
company profile

Document Management System

PT. Acset Indonusa Tbk
    The DMS is a repository for legal documents, agreements (excluding construction contracts), and other documents. Develop using PHP native and Bootstrap, for API using Slim (Mini framework PHP)
  • Scope of Work :
    • Change ui/ux to make it look more modern
    • Added departmenttable and make a validation based on department
    • Create an API that can be used by other applications
    • Deploy code to the server
Flowelto-Shop

Flowelto-Shop

  • Flowelto-Shop is an e-commerce website that sells various types of flowers and customers can buy these flowers. develop using HTML, CSS, Javascript, Laravel, MySQL.
  • Scope of Work :
    • Design UI/UX
    • Design the Database
    • Create a Dashboard Manager Page
    • Create, Read, Update, Delete Flower (Manager)
    • Create Flower Detail Page, Add to Cart, and Payment Page
PomiPlayer

PoMiPlayer

PoMiPlayer is a mobile application that can play music offline, this application is built on the Android platform and can only play music.

goGreen

GoGreen

Static websites are built using HTML, CSS and JavaScript. To make it easier in the responsive process I use the bootstrap version 4 framework.

RxPlayer

RxPlayer

RxPlayer is a static website-based application that displays a list of popular songs of the K-Pop and POP genres. This website was built using HTML, CSS and JavaScript.

Bebas

Bebas

Bebas is a static website that displays popular destinations in Indonesia, the web provides a data searching feature. website development using HTML, CSS, and JavaScript.

hishot

Hishot

HISHOT stands for HIMTI Seminar-Workshop and Study Tour. HISHOT is an annual event held by HIMTI Bina Nusantara to enrich our participants experience

company profile

Company Profile

PT. Tri Mitra Resources
    Develop a company profile website that is used by the company to introduce various information about a company, including the company's vision, mission, goals, and history
  • Scope of Work :
    • Adding the function of the company's activities using JavaScript and CI

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