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ABOUT ME

"Focus on the process not just hoping for the outcomes"


DoB: August 24 1998
Nationality: Indonesia
Phone: (+62)89620373370
Email: bryankarunac@gmail.com
Location: South Tangerang, Indonesia

SKILLS
Technical
  • Python
  • Javascript
  • Tableau
  • HTML/CSS
  • SQL
Languages
  • Bahasa Indonesia
  • English

MORE INFO
linkedin.com/in/bryankchandra
kaggle.com/bryankaruna
github.com/bryankaruna
youracclaim.com/bryankchandra

BRYAN

KARUNACHANDRA


Education

  • SMAK Penabur Gading Serpong 2013-2016
  • Course Net IT Course 2016
  • BINUS University | Computer Science | Database Specialization 2016-2020
  • iOS Foundation Program 2017
  • Digital Talent Scholarship - Fresh Graduate Academy - Data Scientist 2020

General Interest 💡

  • Data Science
  • Web Development
  • Communication
  • Strategic Planning
  • Interpersonal Relation

Organizational Experience

  • Regional President at HIMTI (Himpunan Mahasiswa Teknik Informatika) BINUS Alam Sutera 2017-2018
  • Activist at HIMTI 2016-2018
  • Project Manager of Internal Competition KMBD (Keluarga Besar Mahasiswa Buddhis Dhammavaddhana) 2017
  • Activist at KMBD 2016-2018

Job Experience

  • Student Intern at PT Datacell Infomedia as Data Analyst, SEO, QA Tester, and Web Programmer2019-2020
  • Participant of BukaRiset (Bukalapak) 2019-2020
  • Freelance Fullstack Web Developer at TrueSkinMate 2020
  • Data Scientist Intern at KEB Hana Bank Indonesia 2020-2021
  • Junior Data Scientist at LINE Bank 2021-present

Projects

  • Data Academy - Content writer about web development
  • Task Management Apps - Task management web apps using Angular7, MySQL, Bootstrap, and PHP7
  • Fraud Detection Web Apps - Fraud detection Apps using Flask, Python3, Bootstrap, and CanvasJS based on Knowledge Discovery of Databases (KDD)
  • TrueSkinMate Website - Claim rewards website using MongoDB, NodeJS, Express, and PugJS
  • Livlo - Profiling website using HTML5, Bootstrap, and SlickJS
  • Kaggle - McDonalds Nutrition Facts - Descriptive analysis using Jupyter and DS Libraries
  • Kaggle - House Price Prediction - House price prediction using Jupyter and DS Libraries based on CRISP-DM
  • Kaggle - Titanic - Predicting survior group using Jupyter and DS Libraries based on CRISP-DM