Hi, I'am Danu

Data Analyst / Data Scientist / Business Analyst

Welcome to my website portfolio! here I have a brief introduction of who I am, my experiences, and the details of all projects I did.


ABOUT ME

As a Data Analyst, I possess a strong skill set in data analysis and business understanding. I am adept at gathering, cleansing, and manipulating data using Python and SQL. In my previous role, I successfully developed a predictive machine learning model that is useful in assisting the company in determining actions to be taken in case of issues with oil wells. This model enhances both the work and operational efficiency of the company. By utilizing this predictive model, the company can make faster and more accurate decisions in addressing oil well problems. I am also proficient in data visualization using Power BI and Tableau, which aids in presenting analysis results clearly to management and cross-functional teams. With strong analytical skills and effective communication abilities, I am ready to contribute to achieving the company's business goals through meticulous data analysis.


WORK EXPERIENCE

IT Upstream Analyst - PT. Pertamina Hulu Rokan

Feb 2023 - Present

  • Retrieve the required WellView data from the database using PL/SQL according to the drilling and completions (D&C) team's requests.

  • Creating a Power Bi dashboard for the Idle Well activation project to achieve the 400 thousand oil production target in the Rokan block.

  • Creating Machine learning Classification Model with 81 % accuracy to help Petroleum Engineer in determining action to address problems in oil wells.

  • Creating Power Bi Dashboard to track and maintain equipment performance and oil well data for IEM (Integrated Exception Management) System.

  • Became one of the SQL trainers, trained around 16 people from the drilling and completion team in using SQL to retrieve well data from the WellView software.


BOOTCAMP

Artificial Intelligence - Orbit Future Academy

Aug 2021 - Feb 2022

  • Analyzed market opportunities based on data and make business decisions.

  • Collaborated to create an application called “hydropool'' that aims to help farmers, we made a journal based on this

  • project and was accepted by Indonesian Students Association in Germany (PPI Jerman).

  • Developed a recommendation system for hydropool app.


Cloud Computing - Bangkit Academy

Feb 2021 - Jul 2021

  • Collected, analyzed data using MYSQL, Tableau and other ETL tools to create potential products and services for thefinal project.

  • Provide analytical support on projects to tackle the toughest challenges.

  • Designed a business plan for the final project/startup.

  • Collaborated to create a deep learning model to detect rotten food.


EDUCATION

Computer Science - Riau University

August 2018 - August 2022 | GPA : 3.72

  • Graduated Cum laude.

  • Final Project/Thesis: Analyze Convolutional Neural Network performance for image classification cases.In this thesis I examine the performance comparison of the Convolutional Neural Network algorithm against 2 different image backgrounds, namely plain backgrounds and clutter backgrounds. in this study the object studied was a picture of sign language. The result shows that the performance of the deep learning model is better if it gets plain image input with an accuracy of 82 %, while those who get input images with background clutter only get 52 % accuracy.


PORTOFOLIO

Github

Tableau

Power BI


TECHNICAL SKILL

Excel

Python

SQL

Tableau